Triple
T9387644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babcock International |
E225943
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object | BAB |
E687278
|
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: BAB | Statement: [Babcock International, tickerSymbol, BAB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BAB Context triple: [Babcock International, tickerSymbol, BAB]
-
A.
BAB
chosen
BAB is the IATA airport code for Beale Air Force Base, a major United States Air Force installation in California.
-
B.
Ba
Ba is a town and district on the northwestern coast of Viti Levu in Fiji, known for its sugar industry and cultural diversity.
-
C.
BA
BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
-
D.
BA
BA is a common abbreviation for Broken Arrow, a suburban city in northeastern Oklahoma.
-
E.
BA
BA is the commonly used abbreviation for the British Academy, the United Kingdom’s national academy for the humanities and social sciences.
- 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_69ca842e9dcc8190a264119e683cfe04 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50d562a48190875d9fe3aae25a2b |
completed | April 1, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100f1182881909c3b11c22e911b61 |
completed | April 4, 2026, 12:15 p.m. |
Created at: March 30, 2026, 7:45 p.m.