Triple
T6522260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2023 FIFA Women’s World Cup |
E151211
|
entity |
| Predicate | expandedFromTeams |
P71392
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [2023 FIFA Women’s World Cup, expandedFromTeams, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expandedFromTeams Context triple: [2023 FIFA Women’s World Cup, expandedFromTeams, 24]
-
A.
expansionTeamIn
Indicates that a sports team entered a league or competition as an expansion team in a specified season, year, or context.
-
B.
expansionTeamWith
Indicates that one entity is an expansion team associated with, or added to, another entity such as a league, division, or organization.
-
C.
alsoIncludesTeamsFrom
Indicates that something not only includes its primary elements but additionally encompasses teams originating from another specified group, category, or source.
-
D.
expandedToFiveTeams
Indicates that the number of teams involved in a context increased until it reached a total of five teams.
-
E.
expandedBy
Indicates that one entity increases, elaborates, or builds upon the scope, detail, or extent of another entity.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad95c2c88190b800aaaa73f99210 |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:45 p.m.