Triple
T2633861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sport Club Corinthians Paulista |
E59696
|
entity |
| Predicate | womenTeamAchievement |
P13110
|
FINISHED |
| Object | multiple national and continental titles |
—
|
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: multiple national and continental titles | Statement: [Sport Club Corinthians Paulista, womenTeamAchievement, multiple national and continental titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenTeamAchievement Context triple: [Sport Club Corinthians Paulista, womenTeamAchievement, multiple national and continental titles]
-
A.
womenTeam
Indicates that the team is composed of women or is designated as a women’s team.
-
B.
teamAchievement
chosen
Indicates that a group of individuals collectively accomplished a shared goal or met a performance milestone.
-
C.
WNBAteam
Indicates that the subject is a team that competes in the Women’s National Basketball Association (WNBA).
-
D.
goalsByMeganRapinoe
Indicates the scoring events (goals) that are attributed to Megan Rapinoe.
-
E.
mostAwardsHolderTeam
Indicates the team that holds the highest number of awards within a given set or competition.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.