Triple

T20869281
Position Surface form Disambiguated ID Type / Status
Subject Takovo Meeting E513847 entity
Predicate location P40 FINISHED
Object Takovo 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: Takovo | Statement: [Takovo Meeting, location, Takovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takovo
Context triple: [Takovo Meeting, location, Takovo]
  • A. Takovo chosen
    Takovo is a historic village in central Serbia best known as the starting point of the Second Serbian Uprising against Ottoman rule in 1815.
  • B. Klanjec
    Klanjec is a small town in northern Croatia’s Zagorje region, known for its historic architecture and picturesque rural surroundings.
  • C. Celjanka
    Celjanka is the Slovene term for a female inhabitant or native of the city of Celje in Slovenia.
  • D. Ostružanj
    Ostružanj is a village in western Serbia that forms part of the rural area administered by the municipality of Osečina.
  • E. Rovinka
    Rovinka is a village and municipality in western Slovakia, situated near Bratislava in the Senec District.
  • 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c4624ce48190b85e5bb24cf0a305 completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:45 p.m.