Triple
T12156024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segunda División B |
E289575
|
entity |
| Predicate | tierRelativeToLaLiga |
P27406
|
FINISHED |
| Object | two levels below La Liga |
—
|
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: two levels below La Liga | Statement: [Segunda División B, tierRelativeToLaLiga, two levels below La Liga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tierRelativeToLaLiga Context triple: [Segunda División B, tierRelativeToLaLiga, two levels below La Liga]
-
A.
tierInNationalFootball
Indicates the competitive level or division within a country's national football league system in which an entity (e.g., a club or team) participates.
-
B.
levelInUEFASystem
chosen
Indicates the specific tier or division an entity occupies within the hierarchical structure of the UEFA football league system.
-
C.
countryLeagueSystem
Indicates that a particular league system operates within, or is associated with, a specific country.
-
D.
countryLeagueRepresents
Indicates that a particular league serves as the official representative or embodiment of a country in a given sport or competitive context.
-
E.
tierOfDivisionIA
Indicates that one entity is classified as a Division I-A (top-tier) level within a tiered divisional structure.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.