Triple
T4653295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mills Hill railway station |
E102346
|
entity |
| Predicate | hasNationalLocationCode |
P58226
|
FINISHED |
| Object |
GMMS
GMMS is the National Location Code used within the UK rail industry to uniquely identify Mills Hill railway station in operational and ticketing systems.
|
E455572
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: GMMS | Statement: [Mills Hill railway station, hasNationalLocationCode, GMMS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GMMS Context triple: [Mills Hill railway station, hasNationalLocationCode, GMMS]
-
A.
GMMN
GMMN is the ICAO airport code for Mohammed V International Airport, the main international gateway serving Casablanca, Morocco.
-
B.
GMMX
GMMX is the ICAO airport code for Marrakesh Menara Airport, a major international airport serving the city of Marrakesh in Morocco.
-
C.
GMME
GMME is the ICAO airport code for Rabat–Salé Airport, the main international airport serving Morocco’s capital region.
-
D.
GUM
GUM is the IATA airport code for Antonio B. Won Pat International Airport, the main commercial airport serving Guam in the western Pacific.
-
E.
GUM
GUM is a historic and iconic department store located on Red Square in Moscow, Russia, known for its grand architecture and luxury retail offerings.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GMMS Triple: [Mills Hill railway station, hasNationalLocationCode, GMMS]
Generated description
GMMS is the National Location Code used within the UK rail industry to uniquely identify Mills Hill railway station in operational and ticketing systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GMMS Target entity description: GMMS is the National Location Code used within the UK rail industry to uniquely identify Mills Hill railway station in operational and ticketing systems.
-
A.
GMMN
GMMN is the ICAO airport code for Mohammed V International Airport, the main international gateway serving Casablanca, Morocco.
-
B.
GMMX
GMMX is the ICAO airport code for Marrakesh Menara Airport, a major international airport serving the city of Marrakesh in Morocco.
-
C.
GMME
GMME is the ICAO airport code for Rabat–Salé Airport, the main international airport serving Morocco’s capital region.
-
D.
GUM
GUM is the IATA airport code for Antonio B. Won Pat International Airport, the main commercial airport serving Guam in the western Pacific.
-
E.
GUM
GUM is a historic and iconic department store located on Red Square in Moscow, Russia, known for its grand architecture and luxury retail offerings.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalLocationCode Context triple: [Mills Hill railway station, hasNationalLocationCode, GMMS]
-
A.
hasNationalTopographicCode
Indicates that an entity is associated with a specific national topographic code used for geographic or mapping identification.
-
B.
hasNationalStatus
Indicates that an entity possesses an official national-level designation, recognition, or status within a country.
-
C.
hasRegionCode
Indicates that an entity is associated with a specific regional identifier or code.
-
D.
hasMunicipalityCode
Indicates that an entity is associated with a specific official municipality code used for administrative or identification purposes.
-
E.
hasStationCode
Indicates that an entity is associated with a specific station identification code.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6314883481908f085a7af497b0d8 |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaeb1ee081909ef641953bdf8df3 |
completed | March 21, 2026, 1:56 a.m. |
| NEDg | Description generation | batch_69bdfbc2551c81908a9a84482015fe05 |
completed | March 21, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfc1ffaec81909fc13b647e2c5fa9 |
completed | March 21, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd631328fc81909b28ae0a2a3ed9bb |
completed | March 20, 2026, 3:09 p.m. |
Created at: March 20, 2026, 1:14 p.m.