Triple

T21499283
Position Surface form Disambiguated ID Type / Status
Subject Julia Kristeva E530434 entity
Predicate placeOfBirth P1 FINISHED
Object Sliven, Bulgaria 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: Sliven, Bulgaria | Statement: [Julia Kristeva, placeOfBirth, Sliven, Bulgaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sliven, Bulgaria
Context triple: [Julia Kristeva, placeOfBirth, Sliven, Bulgaria]
  • A. Sliven chosen
    Sliven is a city in eastern Bulgaria known for its textile industry, historic role in Bulgarian national revival, and location near the eastern Balkan Mountains.
  • B. Pazardzhik, Bulgaria
    Pazardzhik is a city in southern Bulgaria known as a regional administrative and cultural center on the banks of the Maritsa River.
  • C. Dimitrovgrad, Bulgaria
    Dimitrovgrad, Bulgaria is an industrial town in southern Bulgaria known for its planned socialist-era architecture and location near the Maritsa River.
  • D. Sapareva Banya
    Sapareva Banya is a Bulgarian spa town renowned for its hot mineral springs and the hottest geyser in continental Europe.
  • E. Svishtov
    Svishtov is a town in northern Bulgaria on the Danube River, known for its historical significance, including proximity to the ancient Roman military site of Novae.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea5a1c6481909410a1164d86a344 completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:24 p.m.