Triple
T26300813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ordnance Corps |
E661551
|
entity |
| Predicate | hasDoctrineArea |
P162327
|
FINISHED |
| Object | ammunition operations |
—
|
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: ammunition operations | Statement: [Ordnance Corps, hasDoctrineArea, ammunition operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDoctrineArea Context triple: [Ordnance Corps, hasDoctrineArea, ammunition operations]
-
A.
isPartOfDoctrineArea
Indicates that one concept, topic, or element belongs to or falls within the scope of a particular doctrinal area or field of doctrine.
-
B.
containsDoctrine
Indicates that one entity includes, embodies, or incorporates the doctrine, principles, or teachings represented by another entity.
-
C.
usesDoctrine
Indicates that one entity applies, follows, or relies on a particular doctrine in its actions or reasoning.
-
D.
acceptsDoctrine
Indicates that one entity acknowledges, adopts, or agrees to follow the doctrine put forward by another entity.
-
E.
sharesDoctrine
Indicates that two entities adhere to or promote the same doctrine, belief system, or set of principles.
- 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_69ee812cd48c81908054068f545f0526 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6250321088190ae3ed1dc9f2fcd03 |
completed | May 2, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f62473a38481909b919f88ffb5b492 |
completed | May 2, 2026, 4:21 p.m. |
Created at: April 26, 2026, 10:15 p.m.