Triple
T29022562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2nd Battalion 10th Marines |
E737492
|
entity |
| Predicate | militaryOccupationField |
P5004
|
FINISHED |
| Object | 08XX artillery |
—
|
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: 08XX artillery | Statement: [2nd Battalion 10th Marines, militaryOccupationField, 08XX artillery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryOccupationField Context triple: [2nd Battalion 10th Marines, militaryOccupationField, 08XX artillery]
-
A.
fieldOfOperation
Indicates the domain, area, or scope within which an entity operates or carries out its primary activities.
-
B.
militaryRole
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
C.
militaryFunction
chosen
Indicates a relationship where an entity serves a specific role, duty, or operational purpose within a military context.
-
D.
occupyingForces
Indicates that one group’s military forces are present in and exercising control over a territory that is not their own, typically without the full consent of the local sovereign authority.
-
E.
civilOrMilitary
Indicates that something is classified as either civil (non-military) or military in nature or function.
- 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 28, 2026, 9:50 a.m.