Triple

T21236423
Position Surface form Disambiguated ID Type / Status
Subject Spetses E523353 entity
Predicate hasLandmark P105 FINISHED
Object Dapia NE NERFINISHED

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: Dapia | Statement: [Spetses, hasLandmark, Dapia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dapia
Context triple: [Spetses, hasLandmark, Dapia]
  • A. Dapia chosen
    Dapia is the main harbor and central waterfront area of the Greek island of Spetses, serving as its key arrival point and social hub.
  • B. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • C. Bansha
    Bansha is a small rural village in County Tipperary, Ireland, known for its scenic setting near the Galtee Mountains and its traditional Irish community character.
  • D. Udbina
    Udbina is a small town in the Lika region of Croatia, known for its historical significance and proximity to the Krbava field.
  • E. Bishi
    Bishi is the given name of Ren Bishi, a prominent early leader of the Chinese Communist Party.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735202c7481909c642ddaafb40671 completed April 21, 2026, 8:28 a.m.
Created at: April 16, 2026, 3:46 p.m.