Triple
T7622224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Newton station |
E172523
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
WNE
WNE is the station code for West Newton railway station in West Yorkshire, England.
|
E677315
|
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: WNE | Statement: [West Newton station, hasStationCode, WNE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WNE Context triple: [West Newton station, hasStationCode, WNE]
-
A.
WN
WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
-
B.
WN
WN is the vehicle registration code used on license plates for the Waiblingen district in the German state of Baden-Württemberg.
-
C.
WUN
WUN is a global consortium of research-intensive universities that collaborate on international education and research initiatives.
-
D.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
-
E.
WNL
WNL is the National Rail station code for Whinhill railway station in Inverclyde, Scotland.
- 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: WNE Triple: [West Newton station, hasStationCode, WNE]
Generated description
WNE is the station code for West Newton railway station in West Yorkshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WNE Target entity description: WNE is the station code for West Newton railway station in West Yorkshire, England.
-
A.
WN
WN is the vehicle registration code used on license plates for the Waiblingen district in the German state of Baden-Württemberg.
-
B.
WN
WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
-
C.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
-
D.
WUN
WUN is a global consortium of research-intensive universities that collaborate on international education and research initiatives.
-
E.
WNL
WNL is the National Rail station code for Whinhill railway station in Inverclyde, Scotland.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa63e66081908ba34dd4483de7fe |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c868789618819094010e60ef73fdfd |
completed | March 28, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_69c86c244d848190b53a713480761162 |
completed | March 29, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c86c7881788190bc399c485d12d6fa |
completed | March 29, 2026, 12:04 a.m. |
Created at: March 27, 2026, 3:56 p.m.