Triple
T32462027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentine Primera B Nacional |
E829599
|
entity |
| Predicate | isSecondTierTo |
P2403
|
FINISHED |
| Object | Argentine Primera División |
—
|
NE NERFINISHED |
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: Argentine Primera División | Statement: [Argentine Primera B Nacional, isSecondTierTo, Argentine Primera División]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSecondTierTo Context triple: [Argentine Primera B Nacional, isSecondTierTo, Argentine Primera División]
-
A.
secondTier
Indicates that something occupies a secondary or subordinate level of importance, quality, or rank relative to a primary or top tier.
-
B.
isSecondHighest
chosen
Indicates that one entity ranks immediately below the highest-ranked entity within a specified ordering or set.
-
C.
hasSecondary
Indicates that an entity is associated with an additional or subordinate counterpart beyond its primary one.
-
D.
hasSecondarySee
Indicates that an entity has an additional, secondary “see also” reference or cross-link to another related entity.
-
E.
secondLevelRepresents
Indicates that one entity serves as a secondary or subordinate representation of another, typically refining or detailing the primary representation.
- 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c322957c8190806ebfc8a6647570 |
completed | May 3, 2026, 3:38 a.m. |
| PD | Predicate disambiguation | batch_69f6ba700a708190ab6db62791e43774 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:57 a.m.