Triple
T33399562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nahdat Berkane |
E855258
|
entity |
| Predicate | localRivalOf |
P18267
|
FINISHED |
| Object | Renaissance Sportive de Berkane |
—
|
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: Renaissance Sportive de Berkane | Statement: [Nahdat Berkane, localRivalOf, Renaissance Sportive de Berkane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localRivalOf Context triple: [Nahdat Berkane, localRivalOf, Renaissance Sportive de Berkane]
-
A.
rivalOf
Indicates a relationship in which two entities compete against or oppose each other, often seeking advantage in the same domain or objective.
-
B.
hasLocalRivalry
chosen
Indicates that there is an ongoing competitive or adversarial relationship between entities that are geographically close or share the same local area.
-
C.
localCompetition
Indicates that two entities are competing with each other within the same local or geographically limited market or area.
-
D.
hasLocalRivalryVenueWith
Indicates that two entities share a venue or location where a local rivalry between them is regularly contested or expressed.
-
E.
cityRivalry
Indicates a competitive or adversarial relationship that exists between two cities, often involving sports, economics, culture, or historical tensions.
- 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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: May 1, 2026, 1:35 a.m.