Triple
T38366296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baianão |
E892451
|
entity |
| Predicate | usesHomeAndAwayMatches |
P166113
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Baianão, usesHomeAndAwayMatches, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesHomeAndAwayMatches Context triple: [Baianão, usesHomeAndAwayMatches, true]
-
A.
playedHomeMatchesIn
Indicates that an entity (typically a sports team) hosted its home matches at a specified venue or location.
-
B.
supportsHomeMatchesOf
Indicates that one entity provides backing, resources, or assistance specifically for the home matches of another entity.
-
C.
hostedHomeMatchesFor
Indicates that an entity organized and held competitive matches at its own home venue for another entity or group.
-
D.
featuresHomeAndAwayGames
chosen
Indicates that the subject includes or schedules both home and away games for the relevant participants.
-
E.
supportsAwayMatchesOf
Indicates that one entity provides backing, resources, or endorsement specifically for the away matches played by another entity.
- 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcc7a4d7f881908b43b960911b81e9 |
completed | May 7, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69fcc589720c819089c8f500fea3c86a |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:31 p.m.