Triple

T3892160
Position Surface form Disambiguated ID Type / Status
Subject South Aegean E88085 entity
Predicate hasMunicipality P847 FINISHED
Object Kos (municipality) E74968 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: Kos (municipality) | Statement: [South Aegean, hasMunicipality, Kos (municipality)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kos (municipality)
Context triple: [South Aegean, hasMunicipality, Kos (municipality)]
  • A. Murça Municipality
    Murça Municipality is a local administrative region in northern Portugal known for its rural landscapes, wine production, and historical heritage.
  • B. Sitia municipality
    Sitia municipality is a local government area in eastern Crete, Greece, known for its coastal town of Sitia, archaeological sites, and traditional Cretan culture.
  • C. Rana Municipality
    Rana Municipality is a local government area in Nordland county, Norway, encompassing the town of Mo i Rana and surrounding districts.
  • D. Kasos
    Kasos is a small, remote Greek island in the southern Aegean Sea, known for its traditional character, maritime heritage, and unspoiled landscapes.
  • E. Kos chosen
    Kos is a Greek island in the southeastern Aegean Sea known for its sandy beaches, ancient ruins, and vibrant tourism.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecb237748190a4d41b76e8efd0ba completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c9484f08190b47eec550e521da5 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:21 p.m.