Triple

T15693289
Position Surface form Disambiguated ID Type / Status
Subject Velestino E380388 entity
Predicate locatedNear P294 FINISHED
Object Volos E70568 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: Volos | Statement: [Velestino, locatedNear, Volos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volos
Context triple: [Velestino, locatedNear, Volos]
  • A. Volos chosen
    Volos is a coastal city in central Greece known as a major commercial and passenger port on the Aegean Sea.
  • B. Karditsa
    Karditsa is a city in central Greece known for its flat terrain, cycling culture, and role as an agricultural and commercial hub of the Thessaly region.
  • C. Lavrio
    Lavrio is a coastal town in southeastern Attica, Greece, historically known for its ancient silver mines and modern port facilities.
  • D. Grevena
    Grevena is a small city in northern Greece known for its mountainous surroundings, rich natural landscapes, and production of mushrooms and dairy products.
  • E. Kilkis
    Kilkis is a town in northern Greece that serves as an important regional center in Central Macedonia, known for its role in the Balkan Wars and its surrounding agricultural plain.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4f5a888190bd3681bcb9bbc02f completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9321f308190b8101162ed671e5e completed May 9, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:44 a.m.