Triple
T5093638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winner's Circle |
E114813
|
entity |
| Predicate | positionInGame |
P11645
|
FINISHED |
| Object | played after the main game rounds |
—
|
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: played after the main game rounds | Statement: [Winner's Circle, positionInGame, played after the main game rounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInGame Context triple: [Winner's Circle, positionInGame, played after the main game rounds]
-
A.
playingPosition
chosen
Indicates the specific role or position an individual occupies while participating in a game or sport.
-
B.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
-
C.
positionInLineup
Indicates the specific ordered place an entity occupies within a lineup or sequence of entities.
-
D.
positionInState
Indicates that one entity occupies or holds a specific position, role, or status within a particular state or condition of another entity.
-
E.
positionInFormation
Indicates the relative place or role an entity occupies within an organized formation or arrangement.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75454920819086e09d6055087e40 |
completed | March 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69bd715c0a448190afc837c6c31dc6ab |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:40 p.m.