Triple
T37233006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fighter Squadron 11 |
E923190
|
entity |
| Predicate | hasAces |
P192814
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Fighter Squadron 11, hasAces, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAces Context triple: [Fighter Squadron 11, hasAces, yes]
-
A.
typeOfAce
Indicates that one entity is classified as a specific type or category of ace (e.g., a particular kind of "ace" within a broader group).
-
B.
hasSpade
Indicates that one entity possesses, holds, or is equipped with a spade in relation to another context or entity.
-
C.
hasSuit
Indicates that an entity possesses, wears, or is associated with a particular suit (such as clothing, armor, or a formal outfit).
-
D.
hasNumberOfCards
Indicates that an entity is associated with a specific quantity of cards.
-
E.
highestScoringAce
Indicates that the subject is the ace (card, player, or entity) with the greatest score among all comparable aces in the given context.
- 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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
| PDg | Predicate description generation | batch_69fd2a2095f88190bfcbcb2973516ffc |
completed | May 8, 2026, 12:11 a.m. |
Created at: May 3, 2026, 4:15 p.m.