Triple

T16552054
Position Surface form Disambiguated ID Type / Status
Subject Miron Cristea E402094 entity
Predicate workLocation P7 FINISHED
Object Caransebeș 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: Caransebeș | Statement: [Miron Cristea, workLocation, Caransebeș]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caransebeș
Context triple: [Miron Cristea, workLocation, Caransebeș]
  • A. Caransebeș chosen
    Caransebeș is a historic town in western Romania, situated in the Banat region and known as an important local cultural and transportation hub.
  • B. Piatra-Olt
    Piatra-Olt is a small town in southern Romania known as a local railway junction and administrative center within Olt County.
  • C. Bârlad
    Bârlad is a town in eastern Romania, historically part of the Moldavia region and known as a local cultural and educational center.
  • D. Văcărești
    Văcărești is a neighborhood and area in southern Bucharest, Romania, known for its large urban nature park and former reservoir site.
  • E. Mediaș
    Mediaș is a historic town in central Romania’s Transylvania region, known for its well-preserved medieval architecture and long-standing Transylvanian Saxon heritage.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc56f9081908bb8f6433a1a688d completed April 18, 2026, 9:32 a.m.
Created at: April 10, 2026, 5:15 a.m.