Triple
T20775472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Medical Association |
E511342
|
entity |
| Predicate | hasOrgan |
P35
|
FINISHED |
| Object | BMA Council |
—
|
NE NERFINISHED |
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: BMA Council | Statement: [British Medical Association, hasOrgan, BMA Council]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMA Council Context triple: [British Medical Association, hasOrgan, BMA Council]
-
A.
BMA
BMA is the local government authority responsible for administering and managing the city of Bangkok, Thailand.
-
B.
BMA
chosen
BMA is the professional association and registered trade union representing doctors and medical students in the United Kingdom.
-
C.
BMA
BMA is the IATA airport code for Stockholm Bromma Airport, a regional airport serving Stockholm, Sweden.
-
D.
BMA Annual Representative Meeting
The BMA Annual Representative Meeting is the British Medical Association’s main policy-making conference where elected representatives of doctors debate and decide the association’s positions on key medical and healthcare issues.
-
E.
British Medical Association
The British Medical Association is the professional association and registered trade union representing doctors and medical students in the United Kingdom.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26b06ac81909aef3b0a0ad79a33 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:37 p.m.