Triple
T7830989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goole railway station |
E181366
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
GOO
GOO is the National Rail station code for Goole railway station in the East Riding of Yorkshire, England.
|
E699256
|
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: GOO | Statement: [Goole railway station, stationCode, GOO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GOO Context triple: [Goole railway station, stationCode, GOO]
-
A.
GOOY
GOOY is the ICAO airport code for Léopold Sédar Senghor International Airport in Dakar, Senegal.
-
B.
Goo
Goo is an energetic, talkative girl from the animated series "Foster's Home for Imaginary Friends" known for her overactive imagination and rapid-fire speech.
-
C.
Goo
Goo is a 1990 alternative rock album by Sonic Youth, noted for its noisy guitar sound and influential role in bringing underground rock toward the mainstream.
-
D.
GÖ
GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
-
E.
GRO
GRO is the FAA airport code assigned to Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
- 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: GOO Triple: [Goole railway station, stationCode, GOO]
Generated description
GOO is the National Rail station code for Goole railway station in the East Riding of Yorkshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GOO Target entity description: GOO is the National Rail station code for Goole railway station in the East Riding of Yorkshire, England.
-
A.
GOOY
GOOY is the ICAO airport code for Léopold Sédar Senghor International Airport in Dakar, Senegal.
-
B.
Goo
Goo is an energetic, talkative girl from the animated series "Foster's Home for Imaginary Friends" known for her overactive imagination and rapid-fire speech.
-
C.
Goo
Goo is a 1990 alternative rock album by Sonic Youth, noted for its noisy guitar sound and influential role in bringing underground rock toward the mainstream.
-
D.
GÖ
GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
-
E.
GRO
GRO is the FAA airport code assigned to Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb0647848081908d74e09f52d0919e |
completed | March 30, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a906b908190a204779950555edc |
completed | March 31, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69cb762ce6208190a24438e26ae83785 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb615dc248190b57b4fc7c430517f |
completed | March 31, 2026, 11:55 a.m. |
Created at: March 30, 2026, 4:44 p.m.