Triple
T16988027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scottish women's football league system |
E412119
|
entity |
| Predicate | includesRegionalizationAt |
P120537
|
FINISHED |
| Object | lower tiers |
—
|
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: lower tiers | Statement: [Scottish women's football league system, includesRegionalizationAt, lower tiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesRegionalizationAt Context triple: [Scottish women's football league system, includesRegionalizationAt, lower tiers]
-
A.
isRegional
Indicates that something pertains to, is characteristic of, or is limited to a specific geographic region or area.
-
B.
containsRegionalVocabulary
Indicates that the subject includes vocabulary items that are specific to a particular geographic region or dialect.
-
C.
alsoInLanguageRegion
Indicates that two or more entities are located within or associated with the same language-defined geographic region.
-
D.
hasRegionalEntity
chosen
Indicates that one entity includes, governs, or is associated with another entity that functions as its regional subdivision or component.
-
E.
hasRegionalVariationsIn
Indicates that something exhibits different forms, versions, or characteristics depending on the geographic region.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27cd2048190800a60ae653e11e1 |
completed | April 18, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.