Triple
T7811158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langho railway station |
E180686
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
LHO
LHO is the National Rail station code for Langho railway station in Lancashire, England.
|
E694615
|
NE FINISHED |
How this triple was built (4 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: LHO | Statement: [Langho railway station, hasStationCode, LHO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LHO Context triple: [Langho railway station, hasStationCode, LHO]
-
A.
LHD
LHD is the National Rail station code for Leatherhead railway station in Surrey, England.
-
B.
LH
LH is the two-letter IATA airline designator used to identify Lufthansa flights in global aviation systems.
-
C.
LH
The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
-
D.
LHM
LHM is the station code for Lillehammer railway station in Norway.
-
E.
LCH
LCH is a leading global clearing house that provides central counterparty clearing services for a wide range of financial markets and asset classes.
- 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: LHO Triple: [Langho railway station, hasStationCode, LHO]
Generated description
LHO is the National Rail station code for Langho railway station in Lancashire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LHO Target entity description: LHO is the National Rail station code for Langho railway station in Lancashire, England.
-
A.
LHD
LHD is the National Rail station code for Leatherhead railway station in Surrey, England.
-
B.
LH
LH is the two-letter IATA airline designator used to identify Lufthansa flights in global aviation systems.
-
C.
LH
The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
-
D.
LHM
LHM is the station code for Lillehammer railway station in Norway.
-
E.
LCH
LCH is a leading global clearing house that provides central counterparty clearing services for a wide range of financial markets and asset classes.
- F. None of above. chosen
Provenance (5 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78cd1cc8190b4cdd9850e1e2bb7 |
completed | March 30, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb14651d488190b1bf6b875a2ebccd |
completed | March 31, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_69cb173190a88190b31fd7973bc19d43 |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a56d25881908b8413b82edf5508 |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:37 p.m.