Triple
T7217010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KC-X program |
E149560
|
entity |
| Predicate | phaseInSequence |
P5784
|
FINISHED |
| Object | first phase of USAF tanker recapitalization |
—
|
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: first phase of USAF tanker recapitalization | Statement: [KC-X program, phaseInSequence, first phase of USAF tanker recapitalization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: phaseInSequence Context triple: [KC-X program, phaseInSequence, first phase of USAF tanker recapitalization]
-
A.
phaseCount
Indicates the number of distinct phases or stages associated with a given process, event, or entity.
-
B.
phaseInStructure
Indicates that an entity occurs as a particular phase or stage within the structural organization or composition of another entity.
-
C.
phase
chosen
Indicates that one entity is in a particular stage, step, or phase within a process, sequence, or lifecycle relative to another reference.
-
D.
programPhase
Indicates the specific stage or phase within a broader program or process that an entity is currently associated with.
-
E.
phaseType
Indicates the specific stage or phase category that an associated process, event, or lifecycle instance belongs to.
- 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.