Triple
T24550142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portugal women's national football team |
E607336
|
entity |
| Predicate | representsInFriendlyMatches |
P149577
|
FINISHED |
| Object | Portugal |
—
|
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: Portugal | Statement: [Portugal women's national football team, representsInFriendlyMatches, Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsInFriendlyMatches Context triple: [Portugal women's national football team, representsInFriendlyMatches, Portugal]
-
A.
representsInFriendlies
chosen
Indicates that an entity participates as a representative in friendly (non-competitive or exhibition) events or matches.
-
B.
representsInLeague
Indicates that an entity serves as a representative of another entity within a specific league or organized competition.
-
C.
representsInSport
Indicates that one entity serves as an official representative of another entity within the context of a particular sport or sporting domain.
-
D.
representsTeamsIn
Indicates that one entity serves as a representative or agent on behalf of a team or multiple teams.
-
E.
matchOf
Indicates that one entity is a specific match, counterpart, or corresponding instance of another entity within a defined context or set.
- 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.