Triple
T24376295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clausura |
E614482
|
entity |
| Predicate | formatVariantOf |
P155964
|
FINISHED |
| Object | traditional single round-robin season |
—
|
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: traditional single round-robin season | Statement: [Clausura, formatVariantOf, traditional single round-robin season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatVariantOf Context triple: [Clausura, formatVariantOf, traditional single round-robin season]
-
A.
exportVariantOf
Indicates that one entity is an exported version or externally released form derived from another, original entity.
-
B.
dstVariantName
Indicates that an entity has a specific variant name used or assigned as the destination in a mapping, transformation, or versioning context.
-
C.
languageVariant
Indicates that one language is a variant, dialect, or localized form of another language.
-
D.
rulesVariantOf
Indicates that one set of rules is a modified or alternative version derived from another set of rules.
-
E.
customizedVariantOf
Indicates that one entity is a modified or tailored version derived from another, preserving a core basis while introducing specific customizations.
- 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_69e2d7e1e010819098b95eb3f905943d |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293d73c0c8190b80e257845a04c57 |
completed | April 29, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:02 a.m.