Triple
T1116532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022 NWSL Championship |
E11112
|
entity |
| Predicate | winnerTitleCount |
P25122
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [2022 NWSL Championship, winnerTitleCount, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerTitleCount Context triple: [2022 NWSL Championship, winnerTitleCount, 3]
-
A.
winnerCount
Indicates the number of entities that are designated as winners in a given context or event.
-
B.
wonLeagueTitle
Indicates that a team or individual finished a competition as champions, securing the league title for that season or tournament.
-
C.
wonDivisionTitle
Indicates that an entity secured first place in its competitive division, earning the division championship title.
-
D.
winnerNickname
Indicates the nickname used to refer to the entity that has won a particular contest, event, or competition.
-
E.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
- F. None of above. chosen
Provenance (4 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4562f48190831e959f5f309956 |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bc47fce48190825d3a877251f789 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:43 p.m.