Triple
T7302180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brandon railway station |
E167883
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | BND |
E274444
|
NE FINISHED |
How this triple was built (2 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: BND | Statement: [Brandon railway station, hasStationCode, BND]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BND Context triple: [Brandon railway station, hasStationCode, BND]
-
A.
BND
chosen
BND is the official currency code for the Brunei dollar, the national currency of Brunei Darussalam.
-
B.
BND
BND is the three-letter station code used to identify Bond Street station on the London Underground network.
-
C.
BNDD
BNDD is the acronym for the former U.S. Bureau of Narcotics and Dangerous Drugs, a federal agency responsible for enforcing drug control laws before its functions were absorbed into the Drug Enforcement Administration (DEA).
-
D.
BNS
BNS is the stock ticker symbol for the Bank of Nova Scotia, one of Canada’s largest multinational banks.
-
E.
BNS
BNS is the main national multipurpose sports stadium in Dhaka, Bangladesh, historically used for major football and cricket events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebb09164819099c4479d48c1688a |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e558098c819091562566c59332e2 |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3:01 p.m.