Triple
T9492811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English First Division 1965–66 |
E228930
|
entity |
| Predicate | seasonNumberOfTopFlightInEngland |
P88926
|
FINISHED |
| Object | 67 |
—
|
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: 67 | Statement: [English First Division 1965–66, seasonNumberOfTopFlightInEngland, 67]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonNumberOfTopFlightInEngland Context triple: [English First Division 1965–66, seasonNumberOfTopFlightInEngland, 67]
-
A.
numberOfPremierDivisions
Indicates the count of premier divisions associated with or attributed to an entity.
-
B.
LeagueCupTitles
Indicates the number of league cup championships an entity has won.
-
C.
premiershipCount
Indicates the number of premiership titles or championships an entity has won.
-
D.
promotedClubsPerSeasonFromEFLChampionship
Indicates the relationship where clubs are promoted from the EFL Championship to a higher league in a given season.
-
E.
firstPremierLeagueSeason
Indicates the specific Premier League season in which an entity (typically a club or player) first participated.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd80ca26bc819084add20027aea4a5 |
completed | April 1, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69cca5651a588190a3cfebe249a223e5 |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca8c6b0f081908334d6c7cf80e03c |
completed | April 1, 2026, 5:10 a.m. |
Created at: March 30, 2026, 7:56 p.m.