Triple
T53498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assistant Secretary of the Navy for Research, Development and Acquisition |
E1053
|
entity |
| Predicate | isPositionIn |
P8
|
FINISHED |
| Object | United States Department of Defense acquisition system |
—
|
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: United States Department of Defense acquisition system | Statement: [Assistant Secretary of the Navy for Research, Development and Acquisition, isPositionIn, United States Department of Defense acquisition system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPositionIn Context triple: [Assistant Secretary of the Navy for Research, Development and Acquisition, isPositionIn, United States Department of Defense acquisition system]
-
A.
isOn
Indicates that one entity is physically positioned above and in contact with the top surface of another entity.
-
B.
locatedBetween
Indicates that one entity is positioned spatially between two other reference entities.
-
C.
containsPoint
Indicates that a geometric region or shape includes a given point within its boundaries.
-
D.
branchPosition
Indicates the relative location or placement of something along a branch.
-
E.
positionHeld
chosen
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b3a9e848190b80de3c858678b3a |
completed | Feb. 28, 2026, 1:56 a.m. |
| PD | Predicate disambiguation | batch_69a24ac52fb08190aa7c38f83434f795 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.