Triple
T36760471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith & Wesson Model 29 |
E908181
|
entity |
| Predicate | frameSizeDesignation |
P39914
|
FINISHED |
| Object | N-frame |
—
|
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: N-frame | Statement: [Smith & Wesson Model 29, frameSizeDesignation, N-frame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frameSizeDesignation Context triple: [Smith & Wesson Model 29, frameSizeDesignation, N-frame]
-
A.
frameSize
chosen
Indicates the size or dimensions of a frame associated with an entity.
-
B.
frameSizeMaximum
Indicates the maximum allowable size or dimensions that a frame can have in a given context.
-
C.
frameWidth
Indicates the measurement of how wide a frame is, typically specifying its horizontal extent or thickness.
-
D.
frameDesigner
Indicates that one entity is the designer or creator responsible for the conceptual or structural design of another entity.
-
E.
frameShape
Indicates that one entity has the specified geometric or structural shape of a frame in relation to another entity.
- 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_69f76e779bec8190be0e1f87a131e0f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.