Triple

T13182332
Position Surface form Disambiguated ID Type / Status
Subject Susak dialect E313758 entity
Predicate languageOf P7445 FINISHED
Object Susak E313758 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: Susak | Statement: [Susak dialect, languageOf, Susak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susak
Context triple: [Susak dialect, languageOf, Susak]
  • A. Susak chosen
    Susak is a small, sandy Croatian island in the Adriatic Sea known for its unique geology, distinct local dialect, and traditional folk costumes.
  • B. Ostružnica
    Ostružnica is a suburban neighborhood of Belgrade, Serbia, situated along the Sava River and known for its strategic transport links, including the Ostružnica Bridge.
  • C. Šolta
    Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
  • D. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • E. Kopaska
    Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c490ed081908ea54edb25c3de90 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff1581388190824a5377b64bd0ef completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9:15 p.m.