Triple
T11197662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derbi barceloní |
E264962
|
entity |
| Predicate | fanBaseCharacteristicRCDEspanyol |
P97812
|
FINISHED |
| Object | traditionally more local support |
—
|
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: traditionally more local support | Statement: [Derbi barceloní, fanBaseCharacteristicRCDEspanyol, traditionally more local support]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanBaseCharacteristicRCDEspanyol Context triple: [Derbi barceloní, fanBaseCharacteristicRCDEspanyol, traditionally more local support]
-
A.
RCD EspanyolTenancyStart
Indicates the date on which a tenancy or occupancy related to RCD Espanyol begins.
-
B.
ElClásicoClubs
Indicates a relationship where two football clubs are the opposing teams that contest the rivalry match known as El Clásico.
-
C.
leftRealMadrid
Indicates that an entity departed from or is no longer a member of Real Madrid (e.g., a player leaving the club).
-
D.
SpainCaps
Indicates the number of times a person has appeared (been capped) for the Spain national team in official matches.
-
E.
SpainGoals
Indicates the number of goals scored by Spain in a given match or competition context.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8c082fc8190866c574f698b59ef |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf83464819087529d47d025d313 |
completed | April 9, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69d77062271c8190b63da714ab5beff9 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:29 p.m.