Triple
T32831404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ning An |
E839697
|
entity |
| Predicate | competitionLaureate |
P156475
|
FINISHED |
| Object | Queen Elisabeth Competition |
—
|
NE NERFINISHED |
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: Queen Elisabeth Competition | Statement: [Ning An, competitionLaureate, Queen Elisabeth Competition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionLaureate Context triple: [Ning An, competitionLaureate, Queen Elisabeth Competition]
-
A.
sportsAchievement
Indicates a relationship where an entity attains or is recognized for a notable accomplishment in a sports context.
-
B.
competitionWinnerFor
chosen
Indicates that an entity is the winner of a specified competition or contest.
-
C.
competitionInNotableEvent
Indicates that an entity participated as a competitor in a specific notable event or competition.
-
D.
competitionOf
Indicates a relationship where one entity is the competitive event, contest, or rivalry involving another entity.
-
E.
competitionDepicted
Indicates that a competitive event or rivalry between entities is shown or represented in some medium or context.
- 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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 1, 2026, 1:16 a.m.