Triple
T36223340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fleury 91 (women) |
E1047915
|
entity |
| Predicate | hasHomeAndAwaySeasonFormat |
P39328
|
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: [Fleury 91 (women), hasHomeAndAwaySeasonFormat, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeAndAwaySeasonFormat Context triple: [Fleury 91 (women), hasHomeAndAwaySeasonFormat, true]
-
A.
hasHomeAndAwayFormat
chosen
Indicates that a competition, match, or series is structured with both home and away legs or fixtures between the same opponents.
-
B.
hasAwayGames
Indicates that an entity (typically a team or player) participates in or is associated with games played at an opponent's venue rather than its own home location.
-
C.
seasonFormatIncludes
Indicates that a particular season uses or contains a specified format as part of its structure or presentation.
-
D.
competesInSeasonalFormat
Indicates that an entity participates in a competition that is organized into recurring seasons or seasonal formats.
-
E.
hasHomeTeamType
Indicates that an entity has a specified classification or category for its home team (e.g., type or role of the home team in a 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_69f76e42c878819095c8d19c0267fb87 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fdf5d05cc481909ec9e1b1f0784279 |
completed | May 8, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69fdf0cdd6948190838864ab3120dfa6 |
completed | May 8, 2026, 2:18 p.m. |
Created at: May 3, 2026, 4:09 p.m.