Triple
T9146688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2015–16 Premier League season |
E219473
|
entity |
| Predicate | numberOfClubsFromLondon |
P87024
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [2015–16 Premier League season, numberOfClubsFromLondon, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfClubsFromLondon Context triple: [2015–16 Premier League season, numberOfClubsFromLondon, 5]
-
A.
sportNumberOfClubs
Indicates the number of clubs or teams an entity is associated with in a sports context.
-
B.
eligibleClubs
Indicates that certain clubs meet the required criteria or conditions to qualify for a specified status, activity, or benefit.
-
C.
numberOfNationalLeagueTeams
Indicates the quantity of teams that participate in the National League associated with a given entity.
-
D.
participatingClubsFrom
Indicates that certain clubs are taking part in or are involved in an event, activity, or context originating from a specified source or organizer.
-
E.
numberOfPDLClubsEntered
Indicates the count of PDL clubs that an entity has entered or participated in.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca917914c8190b97ca9169bbd1e5e |
completed | April 1, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69cc6603ce8c8190bf6e8d6754bdec54 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3d230881909635b2ccea35cedb |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:20 p.m.