Triple

T21786489
Position Surface form Disambiguated ID Type / Status
Subject Bosna River valley E537850 entity
Predicate containsCity P294 FINISHED
Object Vogošća 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: Vogošća | Statement: [Bosna River valley, containsCity, Vogošća]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vogošća
Context triple: [Bosna River valley, containsCity, Vogošća]
  • A. Vogošća chosen
    Vogošća is a town and municipality in Bosnia and Herzegovina, situated just northwest of Sarajevo and known historically for its automotive and industrial production.
  • B. Baška
    Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
  • C. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • D. Vrgorac
    Vrgorac is a small town in southern Croatia known for its karst landscape, vineyards, and traditional Dalmatian hinterland culture.
  • E. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0621b5d6881908b74bc999c94fa3d completed April 28, 2026, 7:30 a.m.
Created at: April 16, 2026, 6:52 p.m.