Triple

T18854388
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Thermi E461133 entity
Predicate containsSettlement P847 FINISHED
Object Thermi 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: Thermi | Statement: [Municipality of Thermi, containsSettlement, Thermi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thermi
Context triple: [Municipality of Thermi, containsSettlement, Thermi]
  • A. Thermi chosen
    Thermi is a suburban town near Thessaloniki in northern Greece, known for hosting educational and research facilities as well as residential and commercial developments.
  • B. Therma
    Therma was an ancient settlement located on the island of Samothrace in the northern Aegean Sea.
  • C. Termal
    Termal is a district in Turkey’s Yalova Province renowned for its natural hot springs and thermal spa resorts.
  • D. Thermon
    Thermon is an ancient Greek sanctuary site in Aetolia, best known as a major religious and political center dedicated to the worship of Apollo.
  • E. Thermantia
    Thermantia was a late Roman noblewoman who became empress as the second wife of Emperor Honorius and daughter of the powerful general Stilicho.
  • 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.