Triple

T15783055
Position Surface form Disambiguated ID Type / Status
Subject Ghencea Cemetery E382667 entity
Predicate locatedInNeighborhood P40 FINISHED
Object Ghencea E606553 NE FINISHED

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: Ghencea | Statement: [Ghencea Cemetery, locatedInNeighborhood, Ghencea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghencea
Context triple: [Ghencea Cemetery, locatedInNeighborhood, Ghencea]
  • A. Ghencea chosen
    Ghencea is a residential neighborhood in western Bucharest, Romania, known for its large housing estates and proximity to the former Steaua Bucharest football stadium.
  • B. Târnăveni
    Târnăveni is a town in central Romania, historically known for its chemical industry and location in the Transylvania region.
  • C. Ghimbav
    Ghimbav is a small town in central Romania, near the city of Brașov, known for its industrial area and proximity to the Carpathian Mountains.
  • D. Horezu
    Horezu is a small Romanian town renowned for its traditional pottery and UNESCO-recognized ceramic craftsmanship.
  • E. Gherla
    Gherla is a town in northern Romania, historically known as Armenopolis, noted for its Armenian heritage and location in the Transylvanian region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05400716881909bc43212c8ea54d5 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a2476c8190a153fb47cb4e7708 completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.