Triple
T20838031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Force Medal |
E513013
|
entity |
| Predicate | lastAwardedInUK |
P142036
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [Air Force Medal, lastAwardedInUK, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastAwardedInUK Context triple: [Air Force Medal, lastAwardedInUK, 1993]
-
A.
lastAwarded
Indicates the most recent time or instance at which an entity received a particular award.
-
B.
awardedSince
Indicates that an entity has been receiving a particular award continuously from a specified starting time onward.
-
C.
formerlyAwardedIn
Indicates that an award or recognition was previously given in a particular context, time, or location but is no longer awarded there.
-
D.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
E.
wasKnightedAt
Indicates that a knighthood was formally conferred upon someone at a specific place or event.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32928788190be8ca57923eefd7e |
completed | April 21, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:42 p.m.