Triple
T9350681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coventry City F.C. |
E225008
|
entity |
| Predicate | topFlightSeasons |
P88086
|
FINISHED |
| Object | multiple seasons in English top division |
—
|
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 seasons in English top division | Statement: [Coventry City F.C., topFlightSeasons, multiple seasons in English top division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topFlightSeasons Context triple: [Coventry City F.C., topFlightSeasons, multiple seasons in English top division]
-
A.
championshipSeasons
Indicates the seasons or years during which an entity won a championship title.
-
B.
managedDebutSeasonTopFlight
Indicates that a person served as a manager or head coach of a team during that team’s first season in the top professional division.
-
C.
tourSeasonPosition
Indicates the position or ranking an entity holds within a specific season of a tour or series.
-
D.
coachOfYearSeason
Indicates that a person was recognized as the coach of the year for a specific sports season.
-
E.
seasonChampion
Indicates that an entity is the winner or champion of a particular season of a competition, league, or series.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f9248c08190a7bb40feec2eb217 |
completed | April 1, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:41 p.m.