Triple
T7176573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Three (Istanbul football clubs) |
E167334
|
entity |
| Predicate | languageOfRivalryCoverage |
P75838
|
FINISHED |
| Object | Turkish |
—
|
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: Turkish | Statement: [Big Three (Istanbul football clubs), languageOfRivalryCoverage, Turkish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfRivalryCoverage Context triple: [Big Three (Istanbul football clubs), languageOfRivalryCoverage, Turkish]
-
A.
countryRivalryContext
Indicates a relationship where two countries are in a state of rivalry, competition, or conflict within a specific political, historical, or strategic context.
-
B.
isMajorRivalryFor
Indicates that one entity is a primary or highly significant competitor or adversary to another, often characterized by ongoing, notable, or intense rivalry.
-
C.
rivalryBasis
Indicates the underlying reason, cause, or grounds on which a rivalry between entities is based.
-
D.
hasRivalrySport
Indicates a competitive relationship in which two entities are rivals specifically within the context of a sport or sporting activity.
-
E.
conferenceRivalry
Indicates a competitive or adversarial relationship between entities that belong to the same conference or organized grouping.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e9aeb1b08190ace6f978387c89aa |
completed | March 27, 2026, 8:33 p.m. |
Created at: March 27, 2026, 2:49 p.m.