Triple

T18854393
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Thermi E461133 entity
Predicate containsSettlement P847 FINISHED
Object Trilofos 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: Trilofos | Statement: [Municipality of Thermi, containsSettlement, Trilofos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trilofos
Context triple: [Municipality of Thermi, containsSettlement, Trilofos]
  • A. Trilofos chosen
    Trilofos is a village in northern Greece that forms part of the Municipality of Thermaikos near Thessaloniki.
  • B. Troulos
    Troulos is a small coastal village and popular beach resort on the Greek island of Skiathos in the Sporades.
  • C. Trophis
    Trophis is a small genus of flowering trees and shrubs in the mulberry family, known for its tropical distribution and simple, often leathery leaves.
  • D. Phellos
    Phellos was an ancient Lycian city-state known for its strategic location and role within the Lycian League in southwestern Anatolia.
  • E. Troillongan
    Troillongan is the popular nickname for Norwegian football club Rosenborg BK, reflecting its playful, “little trolls” identity among supporters.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05b4d8881909af0238f451b0e31 completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:56 a.m.