Triple
T27648381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prva A Liga (Montenegro) |
E696773
|
entity |
| Predicate | countryTopLeagueFor |
P145399
|
FINISHED |
| Object | basketball in Montenegro |
—
|
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: basketball in Montenegro | Statement: [Prva A Liga (Montenegro), countryTopLeagueFor, basketball in Montenegro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryTopLeagueFor Context triple: [Prva A Liga (Montenegro), countryTopLeagueFor, basketball in Montenegro]
-
A.
countryLeagueScope
Indicates that a league’s scope or coverage is defined at the level of a specific country.
-
B.
countryOfLeagueTopScorerTitle
Indicates the country associated with the league’s top scorer title.
-
C.
topScorerCompetition
Indicates that an entity is the highest-scoring participant in a specified competition.
-
D.
countryTopYouthLeague
chosen
Indicates that the subject is the highest-level youth sports league within the specified country.
-
E.
topScorer
Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
- 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_69ef590abd3c8190834d0193bde12007 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: April 27, 2026, 2:30 p.m.