Triple

T14223872
Position Surface form Disambiguated ID Type / Status
Subject Volos waterfront E352566 entity
Predicate locatedIn P40 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: [Volos waterfront, locatedIn, Volos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volos
Context triple: [Volos waterfront, locatedIn, 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6227c288819081473ce44f9f0934 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe387f28688190b9d20f1e2bbc0ddc completed May 8, 2026, 7:24 p.m.
Created at: April 10, 2026, 1:06 a.m.