Triple
T37378582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .308 Winchester |
E928362
|
entity |
| Predicate | usedForGameType |
P194045
|
FINISHED |
| Object | deer |
—
|
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: deer | Statement: [.308 Winchester, usedForGameType, deer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForGameType Context triple: [.308 Winchester, usedForGameType, deer]
-
A.
includesGameType
Indicates that one entity contains or supports a particular type or category of game.
-
B.
hasGameType
Indicates that an entity (such as a game or match) is associated with a specific category or type of game.
-
C.
usesGameAs
Indicates that one entity employs or relies on a particular game as a tool, medium, or component to achieve some purpose or function.
-
D.
isUsedToPlay
Indicates that something serves as an instrument, tool, or medium for engaging in a game, sport, or other form of play.
-
E.
inGameType
Indicates that an entity participates in or belongs to a specific type or category within a game (e.g., game mode, classification, or role).
- 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_69f76eb9e66881908534cf22d04c3b5a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
| PDg | Predicate description generation | batch_69fd5d47da488190a4f2dbd44a0a83b2 |
completed | May 8, 2026, 3:49 a.m. |
Created at: May 3, 2026, 4:16 p.m.