Triple
T22248332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CD Mérida |
E549904
|
entity |
| Predicate | hasHistoricalLeagueLevel |
P91391
|
FINISHED |
| Object | second tier of Spanish football |
—
|
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: second tier of Spanish football | Statement: [CD Mérida, hasHistoricalLeagueLevel, second tier of Spanish football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalLeagueLevel Context triple: [CD Mérida, hasHistoricalLeagueLevel, second tier of Spanish football]
-
A.
hasNonLeagueFootballHistory
Indicates that an entity has a history of participation in football competitions outside the official league system.
-
B.
hasExperienceInLeague
Indicates that an entity has previously participated or been involved in a particular league.
-
C.
hasHistoricFranchise
Indicates that an entity is associated with or possesses a franchise that has historical significance or longstanding legacy.
-
D.
hasLevelHistory
Indicates that an entity is associated with a record or sequence of its past levels or states over time.
-
E.
historicLeagueStatus
chosen
Indicates that an entity’s league affiliation or classification applied in the past (historically), rather than reflecting its current league status.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13219dc3481908dd987c4e98623e6 |
completed | April 28, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
Created at: April 16, 2026, 8:38 p.m.