Triple

T19264192
Position Surface form Disambiguated ID Type / Status
Subject Dobrota E481726 entity
Predicate near P350 FINISHED
Object Prčanj 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: Prčanj | Statement: [Dobrota, near, Prčanj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prčanj
Context triple: [Dobrota, near, Prčanj]
  • A. Prčanj chosen
    Prčanj is a historic coastal town in Montenegro known for its Venetian-era architecture and scenic setting along the Bay of Kotor.
  • B. Praskačka
    Praskačka is a small municipality and village in the Hradec Králové Region of the Czech Republic.
  • C. Pravonín
    Pravonín is a small municipality and village in the Central Bohemian Region of the Czech Republic.
  • D. Prekaz
    Prekaz is a village in Kosovo known as the stronghold of Kosovo Liberation Army commander Adem Jashari and the site of a pivotal 1998 battle in the Kosovo War.
  • E. Prigorje
    Prigorje is a cultural and historical region in northern Croatia, situated along the slopes of Medvednica Mountain near Zagreb, known for its traditional rural settlements and Kajkavian-speaking population.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8bce6881908395836960762672 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:28 p.m.