Triple
T24550121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portugal women's national football team |
E607336
|
entity |
| Predicate | bestEuroPerformance |
P45473
|
FINISHED |
| Object | group stage |
—
|
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: group stage | Statement: [Portugal women's national football team, bestEuroPerformance, group stage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestEuroPerformance Context triple: [Portugal women's national football team, bestEuroPerformance, group stage]
-
A.
euroBestResult
chosen
Indicates the best performance or highest achievement an entity has attained in a European Championship competition.
-
B.
europaLeagueBestStage
Indicates the furthest stage a team or participant has reached in the UEFA Europa League competition.
-
C.
euroDebut
Indicates the event or relationship in which an entity makes its first appearance or participation in a European competition or context.
-
D.
euroBeachSoccerLeagueBestResult
Indicates the best performance or highest achievement an entity has attained in the Euro Beach Soccer League.
-
E.
wonEuropeanTrophy
Indicates that the subject has achieved victory in a European-level competition or trophy.
- 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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8ccddec8190819e6366b3d6b6f0 |
completed | April 30, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.