Triple
T6614637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish football league system |
E149317
|
entity |
| Predicate | secondDivisionNumberOfClubs |
P71527
|
FINISHED |
| Object | 22 |
—
|
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: 22 | Statement: [Spanish football league system, secondDivisionNumberOfClubs, 22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondDivisionNumberOfClubs Context triple: [Spanish football league system, secondDivisionNumberOfClubs, 22]
-
A.
secondDivisionLeagueRepresented
Indicates that an entity is or was represented by a team or participant competing in a second-division sports league.
-
B.
numberOfUSLSecondDivisionClubsEntered
Indicates the number of clubs that participated in the USL Second Division.
-
C.
divisionIIChampionship
Indicates that an entity has won or holds a Division II championship title in a given sport or competition.
-
D.
secondDivisionSanctioning
Indicates that an authority formally approves or authorizes a competition, event, or entity to operate at the second-division level.
-
E.
numberOfDivisionsInConference
Indicates the total count of divisions that exist within a given conference.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6bdb88cc881908f35648c15a7dc85 |
completed | March 27, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69c6ad007c1c8190af425f51011c7ad1 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6bdb76ec48190b59d576170970cc9 |
completed | March 27, 2026, 5:26 p.m. |
Created at: March 27, 2026, 1:57 p.m.