Triple
T13740757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckley railway station |
E330077
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
BCK
BCK is the National Rail station code for Buckley railway station in Flintshire, Wales.
|
E1057730
|
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: BCK | Statement: [Buckley railway station, stationCode, BCK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BCK Context triple: [Buckley railway station, stationCode, BCK]
-
A.
BCB
BCB is the Central Bank of Brazil, the country’s primary monetary authority responsible for implementing monetary policy, regulating the financial system, and issuing currency.
-
B.
BCB
BCB is the Bangladesh Cricket Board, the national governing body responsible for overseeing and developing cricket in Bangladesh.
-
C.
BCB
BCB is the commonly used abbreviation for Bard College Berlin, a liberal arts university in Berlin, Germany.
-
D.
BK
BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
-
E.
BK
BK is the vehicle registration code assigned to motor vehicles registered in Bobo-Dioulasso, a major city in Burkina Faso.
- 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: BCK Triple: [Buckley railway station, stationCode, BCK]
Generated description
BCK is the National Rail station code for Buckley railway station in Flintshire, Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BCK Target entity description: BCK is the National Rail station code for Buckley railway station in Flintshire, Wales.
-
A.
BCB
BCB is the Central Bank of Brazil, the country’s primary monetary authority responsible for implementing monetary policy, regulating the financial system, and issuing currency.
-
B.
BCB
BCB is the Bangladesh Cricket Board, the national governing body responsible for overseeing and developing cricket in Bangladesh.
-
C.
BCB
BCB is the commonly used abbreviation for Bard College Berlin, a liberal arts university in Berlin, Germany.
-
D.
BK
BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
-
E.
BK
BK is the vehicle registration code assigned to motor vehicles registered in Bobo-Dioulasso, a major city in Burkina Faso.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0206a4b88190a60914e2b43e54f9 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6db3a48190a4f3595355f9073b |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79ee1eaf88190a3ee3b9a20271ea8 |
completed | May 3, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79f7216b08190800165d46172222c |
completed | May 3, 2026, 7:18 p.m. |
Created at: April 9, 2026, 9:55 p.m.