Triple
T3358726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Board of Veterans’ Appeals |
E70665
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | BVA |
E317404
|
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: BVA | Statement: [Board of Veterans’ Appeals, shortName, BVA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BVA Context triple: [Board of Veterans’ Appeals, shortName, BVA]
-
A.
BVA
chosen
BVA is the IATA airport code for Beauvais–Tillé Airport, a low-cost carrier hub serving Paris and located near the city of Beauvais in northern France.
-
B.
BAW
BAW is the ICAO airline designator used in aviation to identify British Airways flights and operations.
-
C.
VABB
VABB is the ICAO airport code for Chhatrapati Shivaji Maharaj International Airport, the primary international airport serving Mumbai, India.
-
D.
BAA
BAA is the acronym for the Basketball Association of America, the professional basketball league that later merged to form today’s National Basketball Association (NBA).
-
E.
Bassett
Bassett is the surname of acclaimed American actress and director Angela Bassett, known for her powerful performances in film and television.
- 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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb26523cc819091006fde7beb32e4 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b32541ed808190aa7be7d0b7606426 |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:13 p.m.