Triple

T10675492
Position Surface form Disambiguated ID Type / Status
Subject Karpenisi E251604 entity
Predicate hasNearbyVillage P4647 FINISHED
Object Mikro Chorio E521787 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: Mikro Chorio | Statement: [Karpenisi, hasNearbyVillage, Mikro Chorio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikro Chorio
Context triple: [Karpenisi, hasNearbyVillage, Mikro Chorio]
  • A. Mikro Chorio
    Mikro Chorio is an abandoned traditional village on the Greek island of Tilos, known for its preserved stone houses and atmospheric ruins.
  • B. Mikro Chorio chosen
    Mikro Chorio is a small settlement on the Greek island of Agathonisi in the Dodecanese, known for its quiet, traditional island character.
  • C. Megalo Chorio
    Megalo Chorio is the main village and administrative center of the small Greek island of Agathonisi in the Dodecanese.
  • D. Megalo Chorio
    Megalo Chorio is the main village and administrative center of the Greek island of Tilos in the Dodecanese.
  • E. The Dance
    The Dance is a painting by Dutch Golden Age artist Abraham Bloemaert, known for its dynamic composition and elegant depiction of figures in motion.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fb935ca88190b1312d3d53902af5 completed April 9, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d98876222c8190be638bdfa3ce4ceb completed April 10, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:09 p.m.