Triple
T133815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Point, New York |
E2706
|
entity |
| Predicate | militaryFunction |
P5004
|
FINISHED |
| Object | officer training center for U.S. Army |
—
|
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: officer training center for U.S. Army | Statement: [West Point, New York, militaryFunction, officer training center for U.S. Army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryFunction Context triple: [West Point, New York, militaryFunction, officer training center for U.S. Army]
-
A.
warfareCapability
Indicates the ability or capacity of an entity to engage in, conduct, or support acts of warfare.
-
B.
militaryProvision
Indicates the provision, allocation, or supply of military resources, services, or support from one entity to another.
-
C.
militaryStrategy
Indicates a relationship where an entity plans, directs, or is associated with the organized use of armed forces and tactics to achieve military or defense objectives.
-
D.
warfareType
Indicates the specific kind or category of warfare that characterizes a given conflict or military engagement.
-
E.
militaryTheater
Indicates that an entity is a geographic or operational area where military operations or campaigns are conducted.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25788b2688190a45b39447f702551 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a25650251c81908a6ea6368cd61198 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256ea776081908fec36c3fdfb8d84 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.