Triple
T10162206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piers Courage |
E233916
|
entity |
| Predicate | bestF1Result |
P92356
|
FINISHED |
| Object | 2nd place |
—
|
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: 2nd place | Statement: [Piers Courage, bestF1Result, 2nd place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestF1Result Context triple: [Piers Courage, bestF1Result, 2nd place]
-
A.
bestForward
Indicates that the subject is considered the most effective or outstanding forward (e.g., in an offensive or attacking role) relative to a given group or context.
-
B.
bestResultFIFA U-20 World Cup
Indicates the highest placement or achievement an entity has attained in any edition of the FIFA U-20 World Cup.
-
C.
bestResultFifaU17WWC
Indicates that the object is the best performance or highest achievement an entity has attained in the FIFA U-17 Women's World Cup.
-
D.
finalScore
Indicates the resulting or overall score achieved after all contributing actions, events, or evaluations are completed.
-
E.
bestObservedWith
Indicates that one entity is most effectively or appropriately observed, detected, or measured when used or considered together with another specified entity.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec5b5194819095645e9174897b0f |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8f869c8190a82ad040993e0244 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 9:09 p.m.