Triple

T4744096
Position Surface form Disambiguated ID Type / Status
Subject Mount Vermio E105317 entity
Predicate nearestCity P350 FINISHED
Object Veria E99094 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: Veria | Statement: [Mount Vermio, nearestCity, Veria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veria
Context triple: [Mount Vermio, nearestCity, Veria]
  • A. Veria chosen
    Veria is a historic city in northern Greece known for its ancient Macedonian heritage and early Christian significance.
  • B. Abersychan
    Abersychan is a former industrial village and community in the county borough of Torfaen in South Wales, historically known for coal mining and ironworks.
  • C. Blaina
    Blaina is a small former coal-mining town in the county borough of Blaenau Gwent in South Wales.
  • D. Brecon
    Brecon is a historic market town in Powys, mid Wales, known for its cathedral, Georgian architecture, and location near the Brecon Beacons National Park.
  • E. Tyndrum
    Tyndrum is a small village in the Scottish Highlands that serves as a key road and rail junction for travelers heading to western and northern Scotland.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64aa72c0819082ede0f531d75e65 completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a37a77881909d32027f1ada99c5 completed March 21, 2026, 6:27 a.m.
Created at: March 20, 2026, 1:19 p.m.