Triple
T38174390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derbi Valenciano |
E1000164
|
entity |
| Predicate | rivalryFocusClub |
P97674
|
FINISHED |
| Object | Hércules CF |
—
|
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: Hércules CF | Statement: [Derbi Valenciano, rivalryFocusClub, Hércules CF]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rivalryFocusClub Context triple: [Derbi Valenciano, rivalryFocusClub, Hércules CF]
-
A.
rivalClubSupportedByRivalFanbase
Indicates that a rival club is backed or supported by a fanbase that is considered a rival to another club’s supporters.
-
B.
rivalryFocus
chosen
Indicates a relationship in which one entity is the primary target or center of another entity’s competitive or adversarial rivalry.
-
C.
countryRivalClubs
Indicates that two sports clubs from the same country are considered rivals.
-
D.
rivalClubsInSameCity
Indicates that two sports clubs are rivals and are based in the same city.
-
E.
mainFanBaseRegionClub1
Indicates the primary geographic region where Club1’s main fan base is concentrated.
- 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_69f76daaace48190a38cee37f8ce343f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:29 p.m.