Triple

T4744097
Position Surface form Disambiguated ID Type / Status
Subject Mount Vermio E105317 entity
Predicate nearestCity P350 FINISHED
Object Naousa E300081 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: Naousa | Statement: [Mount Vermio, nearestCity, Naousa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naousa
Context triple: [Mount Vermio, nearestCity, Naousa]
  • A. Naousa chosen
    Naousa is a historic town in northern Greece known for its wine production, natural springs, and role in the Greek War of Independence.
  • B. Arethousa
    Arethousa is a nymph from Greek mythology, closely associated with a sacred spring and often linked to the goddess Artemis.
  • C. Arsacia
    Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
  • D. Eauripik
    Eauripik is a small inhabited atoll and island community in the Federated States of Micronesia, located within Yap State in the western Pacific Ocean.
  • E. Amphicleia
    Amphicleia was an ancient Greek city in the region of Phocis, known from classical sources for its strategic and regional significance.
  • 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.