Triple
T2628248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Shafter |
E59170
|
entity |
| Predicate | militaryRegion |
P2804
|
FINISHED |
| Object | U.S. Indo-Pacific Command area of responsibility |
—
|
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: U.S. Indo-Pacific Command area of responsibility | Statement: [Fort Shafter, militaryRegion, U.S. Indo-Pacific Command area of responsibility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryRegion Context triple: [Fort Shafter, militaryRegion, U.S. Indo-Pacific Command area of responsibility]
-
A.
militaryDistrict
chosen
Indicates that an entity functions as, or is located within, an administrative military district or region under military jurisdiction.
-
B.
garrisonRegion
Indicates that a military force is stationed in and responsible for defending a specific region.
-
C.
militaryOrganization
Indicates that an entity functions as, or is associated with, a structured armed forces or defense-related organization.
-
D.
hasMilitaryDivision
Indicates that an entity possesses, includes, or is organizationally associated with a specific military division.
-
E.
regionOfConflict
Indicates that a specified region is the location where a particular conflict or dispute takes place.
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.