Triple

T12179037
Position Surface form Disambiguated ID Type / Status
Subject Brac E290167 entity
Predicate hasSettlement P1068 FINISHED
Object Supetar E473202 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: Supetar | Statement: [Brac, hasSettlement, Supetar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Supetar
Context triple: [Brac, hasSettlement, Supetar]
  • A. Supetar chosen
    Supetar is the main port and largest town on the Croatian island of Brač, known for its Adriatic seaside setting and role as a local tourism and transport hub.
  • B. Niš
    Niš is one of the largest and oldest cities in Serbia, known as a key cultural, economic, and transportation hub in the southern part of the country.
  • C. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • D. Bajina Bašta
    Bajina Bašta is a small town in western Serbia known for its scenic location on the Drina River and proximity to the Tara National Park.
  • E. Herceg Novi
    Herceg Novi is a coastal town in western Montenegro known for its historic old town, fortresses, and scenic location at the entrance to the Bay of Kotor.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915fa6ff08190a1ddb3606c229cad completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a88b3b08190aef789b1965bbe80 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:50 p.m.