Triple
T3112173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type 99 rifle |
E64975
|
entity |
| Predicate | originalFeature |
P46013
|
FINISHED |
| Object | folding monopod on some early rifles |
—
|
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: folding monopod on some early rifles | Statement: [Type 99 rifle, originalFeature, folding monopod on some early rifles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalFeature Context triple: [Type 99 rifle, originalFeature, folding monopod on some early rifles]
-
A.
createdFeature
Indicates that one entity brought another entity into existence or caused it to be produced as a feature.
-
B.
firstToFeature
Indicates that one entity was the earliest or initial subject to exhibit, include, or present another entity in a given context.
-
C.
originalRelease
Indicates the initial publication or first official release event of a work or product.
-
D.
originalType
Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
-
E.
featuresOriginalScore
Indicates that an entity includes or is accompanied by its initial, unaltered score or musical composition.
- 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.