Triple

T21050822
Position Surface form Disambiguated ID Type / Status
Subject Agathonissi E518575 entity
Predicate hasSettlement P1068 FINISHED
Object Megalo Chorio 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: Megalo Chorio | Statement: [Agathonissi, hasSettlement, Megalo Chorio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Megalo Chorio
Context triple: [Agathonissi, hasSettlement, Megalo Chorio]
  • A. Megalo Chorio
    Megalo Chorio is the main village and administrative center of the Greek island of Tilos in the Dodecanese.
  • B. Megalo Chorio
    Megalo Chorio is a traditional mountain village in central Greece, known for its stone-built houses, scenic natural surroundings, and proximity to the town of Karpenisi.
  • C. Megalo Chorio chosen
    Megalo Chorio is the main village and administrative center of the small Greek island of Agathonisi in the Dodecanese.
  • D. Makrochori
    Makrochori is a village-level settlement located within the municipality of Eordaia in northern Greece.
  • E. Kalo Chorio
    Kalo Chorio is a small coastal village in eastern Crete, Greece, known for its nearby sandy beaches and traditional Cretan character.
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7a5cf48190939aefaa44db1ddb completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:35 p.m.