Triple
T8239358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L1A1 Self-Loading Rifle |
E192491
|
entity |
| Predicate | selectorPositions |
P81017
|
FINISHED |
| Object | safe |
—
|
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: safe | Statement: [L1A1 Self-Loading Rifle, selectorPositions, safe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectorPositions Context triple: [L1A1 Self-Loading Rifle, selectorPositions, safe]
-
A.
segmentPositioning
Indicates how segments are arranged or ordered relative to one another within a larger structure or sequence.
-
B.
hasPositionsFor
Indicates that one entity offers or contains available roles, jobs, or positions for another entity.
-
C.
stylePositioning
Indicates how an entity is spatially or visually arranged or aligned relative to a reference frame or other elements.
-
D.
coordinatesPositionsIn
Indicates that one entity organizes or aligns the positions or placement of other entities within a specified context or space.
-
E.
positionSought
Indicates the specific role, job, or position that an entity is aiming to obtain or apply for.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783cce5c8190bf116704d2923ade |
completed | March 31, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb3d6c34708190a987d68529cbb0b3 |
completed | March 31, 2026, 3:20 a.m. |
Created at: March 30, 2026, 5:47 p.m.