Triple
T37012786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Conservatory |
E915992
|
entity |
| Predicate | hasInGameUse |
P194480
|
FINISHED |
| Object | mission location |
—
|
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: mission location | Statement: [Royal Conservatory, hasInGameUse, mission location]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInGameUse Context triple: [Royal Conservatory, hasInGameUse, mission location]
-
A.
isUsedToPlay
Indicates that something serves as an instrument, tool, or medium for engaging in a game, sport, or other form of play.
-
B.
hasInGameItemType
Indicates that an entity possesses or is associated with a specific type or category of in-game item.
-
C.
playableInGame
Indicates that something can be used or controlled as an active element within a particular game.
-
D.
hasSpecialUse
chosen
Indicates that an entity is used for a particular, non-general or exceptional purpose within a specific context.
-
E.
usesGameAs
Indicates that one entity employs or relies on a particular game as a tool, medium, or component to achieve some purpose or function.
- 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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00d508290081909f3d5dfbb2e80c8e |
completed | May 10, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_6a00d49da4cc81909566ad286ec22292 |
completed | May 10, 2026, 6:55 p.m. |
Created at: May 3, 2026, 4:14 p.m.