Triple
T6648815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FA Women's National League |
E150766
|
entity |
| Predicate | numberOfDivisionOneLeagues |
P72040
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [FA Women's National League, numberOfDivisionOneLeagues, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDivisionOneLeagues Context triple: [FA Women's National League, numberOfDivisionOneLeagues, 4]
-
A.
numberOfDivisionsInConference
Indicates the total count of divisions that exist within a given conference.
-
B.
numberOfLeagues
Indicates the quantity of leagues associated with or attributed to a given entity or relationship.
-
C.
associatedLeagueDivision
Indicates that an entity is linked to, or belongs within, a specific division of a sports league.
-
D.
typicalNumberOfTopDivisionTeams
Indicates the usual or standard number of teams that compete in the highest-level division of a league or competition.
-
E.
Division 1Focus
Indicates a focus on or association with Division 1 level within a hierarchical or tiered structure.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad04d66c8190926ffcbff372643b |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6cc988c0081909d22b86ca299331c |
completed | March 27, 2026, 6:29 p.m. |
Created at: March 27, 2026, 2:01 p.m.