Triple
T7216983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KC-X program |
E149560
|
entity |
| Predicate | initialAwardStatus |
P323
|
FINISHED |
| Object | protested by Boeing |
—
|
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: protested by Boeing | Statement: [KC-X program, initialAwardStatus, protested by Boeing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialAwardStatus Context triple: [KC-X program, initialAwardStatus, protested by Boeing]
-
A.
awardedStatus
Indicates that a particular status, honor, or designation has been formally granted to an entity.
-
B.
awardStatus
chosen
Indicates the current state or outcome of an award in relation to an entity, such as whether it has been granted, pending, rejected, or completed.
-
C.
awardedSince
Indicates that an entity has been receiving a particular award continuously from a specified starting time onward.
-
D.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
E.
positionAwarded
Indicates that a specific position, role, or title has been formally granted to an entity (such as a person or organization).
- F. None of above.
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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e99000dc81908ef4b70729cc00b0 |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e75f84e481909e7866186ae80cff |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:53 p.m.