Triple
T9833008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bathurst station |
E239032
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
BA
BA is the station code for Bathurst station on the Toronto Transit Commission subway system.
|
E824395
|
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: BA | Statement: [Bathurst station, hasStationCode, BA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BA Context triple: [Bathurst station, hasStationCode, BA]
-
A.
BA
BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
-
B.
BA
BA is the vehicle registration code used on license plates for cars registered in Bratislava, the capital city of Slovakia.
-
C.
BA
BA is the two-letter ISO 3166-1 alpha-2 country code assigned to Bosnia and Herzegovina.
-
D.
BA
BA is the commonly used abbreviation for the British Academy, the United Kingdom’s national academy for the humanities and social sciences.
-
E.
BA
BA is the IATA code for British Airways, the United Kingdom’s flag carrier and one of the world’s largest international airlines.
- 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: BA Triple: [Bathurst station, hasStationCode, BA]
Generated description
BA is the station code for Bathurst station on the Toronto Transit Commission subway system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BA Target entity description: BA is the station code for Bathurst station on the Toronto Transit Commission subway system.
-
A.
BA
BA is the vehicle registration code used on license plates for cars registered in Bratislava, the capital city of Slovakia.
-
B.
BA
BA is the vehicle registration code used on license plates for the city and district of Bamberg in Upper Franconia, Germany.
-
C.
BA
BA is the IATA code for British Airways, the United Kingdom’s flag carrier and one of the world’s largest international airlines.
-
D.
BA
BA is a common abbreviation for Broken Arrow, a suburban city in northeastern Oklahoma.
-
E.
BA
BA is a postcode area in southwest England that covers parts of Somerset, including towns such as Bath and Bruton.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb336bfc4819084f0d4d6d1867484 |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5c448388190818e4cc5e3a42dfc |
completed | April 5, 2026, 3:23 a.m. |
| NEDg | Description generation | batch_69d1d6affc3c8190839a4db8f4271309 |
completed | April 5, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d772de00819089eed8be9f5ce3ce |
completed | April 5, 2026, 3:30 a.m. |
Created at: March 30, 2026, 8:32 p.m.