Triple
T27885582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reversi |
E705213
|
entity |
| Predicate | hasInitialSetup |
P174260
|
FINISHED |
| Object | four discs in the center of the board |
—
|
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: four discs in the center of the board | Statement: [Reversi, hasInitialSetup, four discs in the center of the board]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInitialSetup Context triple: [Reversi, hasInitialSetup, four discs in the center of the board]
-
A.
hasInitial
Indicates that one entity possesses or is associated with the first letter or starting character of another entity’s name or value.
-
B.
hasSetupElement
Indicates that an entity includes, is associated with, or is composed of a particular setup-related component or element.
-
C.
hasInitialState
Indicates that an entity begins or is configured with a specified starting condition or state.
-
D.
hasOpeningSetup
chosen
Indicates that an entity includes or is associated with an initial configuration, arrangement, or setup phase that establishes starting conditions for something.
-
E.
usesInitSystem
Indicates that one entity employs or is based on a particular initialization (init) system to start and manage services or processes.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: April 27, 2026, 6:32 p.m.