Triple

T23109095
Position Surface form Disambiguated ID Type / Status
Subject Cres E576265 entity
Predicate hasCapital P204 FINISHED
Object Cres (town) E313750 NE 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: Cres (town) | Statement: [Cres, hasCapital, Cres (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cres (town)
Context triple: [Cres, hasCapital, Cres (town)]
  • A. Cres (town) chosen
    Cres is a historic coastal town and port on the island of Cres in Croatia, known for its medieval architecture and Adriatic seaside setting.
  • B. Cres
    Cres is a large Croatian island in the northern Adriatic Sea, known for its rugged coastline, pristine nature, and traditional coastal towns.
  • C. Crescent Town
    Crescent Town is a densely populated, multicultural residential neighbourhood in Toronto, Ontario, known for its high-rise apartment complexes and proximity to public transit.
  • D. Creetown
    Creetown is a small historic village in southwest Scotland, known for its granite quarrying heritage and scenic location near the Solway Firth.
  • E. Cresserons
    Cresserons is a small commune in the Calvados department of the Normandy region in northwestern France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0d3d4881908e32837b3fbbb406 completed April 29, 2026, 4:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23e7fdec8190a7ac3e8f18e677d8 completed May 19, 2026, 8:48 a.m.
Created at: April 17, 2026, 3:58 p.m.