Triple
T3726035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2008 Summer Olympics women's football tournament |
E81750
|
entity |
| Predicate | medalEvent |
P7488
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [2008 Summer Olympics women's football tournament, medalEvent, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalEvent Context triple: [2008 Summer Olympics women's football tournament, medalEvent, yes]
-
A.
OlympicMedalEvent
chosen
Indicates that an entity represents a specific Olympic Games event in which medals are awarded.
-
B.
medalType
Indicates the specific category or class of a medal associated with an award or achievement.
-
C.
medalIn
Indicates that an entity has received a medal or award in a particular event, field, or competition.
-
D.
medalFor
Indicates that a medal is awarded to an entity in recognition of a specific achievement, action, or service.
-
E.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcaf669d48190852aaeef70265404 |
completed | March 8, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69adc0452f5081909c79e114a86cce8c |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.