Triple
T3112170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type 99 rifle |
E64975
|
entity |
| Predicate | laterWarProductionFeature |
P46012
|
FINISHED |
| Object | simplified machining |
—
|
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: simplified machining | Statement: [Type 99 rifle, laterWarProductionFeature, simplified machining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterWarProductionFeature Context triple: [Type 99 rifle, laterWarProductionFeature, simplified machining]
-
A.
warProduction
Indicates that an entity is involved in the production of goods, resources, or services specifically intended to support war or military activities.
-
B.
warfareCapability
Indicates the ability or capacity of an entity to engage in, conduct, or support acts of warfare.
-
C.
armamentWartime
Indicates a relationship where an entity serves as a weapon or military equipment used by another entity specifically in a wartime context.
-
D.
militaryCharacteristic
Indicates that one entity possesses a specific military-related attribute, quality, or feature in relation to another entity or context.
-
E.
typeOfWeaponsProduced
Indicates the specific categories or kinds of weapons that are manufactured or produced by an entity.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43b0b3c8190a828c9cfcf730ed9 |
completed | March 8, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_69ad9df25d4c81908ff0f6cff55d0563 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f6fef48190b13898be383a246b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:04 p.m.