Triple

T19406853
Position Surface form Disambiguated ID Type / Status
Subject Kotor Bay E485484 entity
Predicate hasPart P35 FINISHED
Object Perast 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: Perast | Statement: [Kotor Bay, hasPart, Perast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perast
Context triple: [Kotor Bay, hasPart, Perast]
  • A. Perast chosen
    Perast is a historic coastal town in Montenegro renowned for its well-preserved Baroque architecture and picturesque setting on the Bay of Kotor.
  • B. Pasca
    Pasca is a town in Colombia’s Cundinamarca Department, known as the discovery site of the famous pre-Columbian Muisca golden raft artifact.
  • C. Prahasta
    Prahasta is a powerful rakshasa commander in the Hindu epic Ramayana, serving as one of Ravana’s chief generals in the war against Rama.
  • D. Perar
    Perar is an alternative name for the Bharathapuzha River, one of the major rivers flowing through the Indian state of Kerala.
  • E. Partanna
    Partanna is a historic town in western Sicily, Italy, known for its medieval castle, traditional architecture, and olive oil and wine production.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257bad0c819088dd7729b6a36a94 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.