Triple
T22775124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scottish football pyramid |
E563673
|
entity |
| Predicate | secondTierNumberOfClubs |
P71527
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Scottish football pyramid, secondTierNumberOfClubs, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondTierNumberOfClubs Context triple: [Scottish football pyramid, secondTierNumberOfClubs, 10]
-
A.
secondDivisionNumberOfClubs
chosen
Indicates the total number of clubs that participate in the second division of a competition or league.
-
B.
typicalNumberOfClubs
Indicates the usual or most common number of clubs associated with an entity in a given context.
-
C.
numberOfUSLSecondDivisionClubsEntered
Indicates the number of clubs that participated in the USL Second Division.
-
D.
secondTier
Indicates that something occupies a secondary or subordinate level of importance, quality, or rank relative to a primary or top tier.
-
E.
numberOfPDLClubsEntered
Indicates the count of PDL clubs that an entity has entered or participated in.
- F. None of above.
Provenance (3 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b60eec48190b0aaf3eb7ede38d4 |
completed | April 29, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:28 p.m.