Triple
T7152939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BAW |
E166736
|
entity |
| Predicate | BAIs |
P75160
|
FINISHED |
| Object | IATA airline designator of British Airways |
—
|
LITERAL 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: IATA airline designator of British Airways | Statement: [BAW, BAIs, IATA airline designator of British Airways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BAIs Context triple: [BAW, BAIs, IATA airline designator of British Airways]
-
A.
by
Indicates that an action is performed, caused, or authored through the agency, means, or proximity of a specified entity.
-
B.
B_1
Indicates that one entity is the first or primary instance/member in an ordered series or group relative to another entity.
-
C.
B_3
Indicates that one entity is the third in a sequence, group, or ordered relation with respect to another entity.
-
D.
bay
Indicates that one entity howls or barks loudly, often repeatedly, typically in reaction to something such as prey, the moon, or a disturbance.
-
E.
B_9
Indicates that one entity blocks, prevents, or inhibits another entity from occurring or having its effect.
- F. None of above. chosen
Provenance (4 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7f52c1081908c4fa424d5e965bc |
completed | March 27, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69c6e1caf4e48190b47bb398a3c1554d |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:46 p.m.