Triple

T20092153
Position Surface form Disambiguated ID Type / Status
Subject Zgierz E496296 entity
Predicate hasTwinTown P919 FINISHED
Object Câmpina 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: Câmpina | Statement: [Zgierz, hasTwinTown, Câmpina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Câmpina
Context triple: [Zgierz, hasTwinTown, Câmpina]
  • A. Câmpina chosen
    Câmpina is a town in southern Romania known historically as an important oil industry center and a gateway to the Prahova Valley.
  • B. Câmpeni
    Câmpeni is a small town in central Romania, located in the Apuseni Mountains region of Alba County and known historically for its role in Romanian national movements.
  • C. Ciampea
    Ciampea is a district in West Java, Indonesia, known as part of the suburban and semi-rural area surrounding the city of Bogor.
  • D. Pucisca
    Pučišća is a picturesque coastal town on the Croatian island of Brač, known for its white limestone quarries and traditional stone masonry.
  • E. Arrecina
    Arrecina is an ancient Roman family name (nomen) associated with members of the early Imperial aristocracy.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66668db8881908c43b1deef9af1d3 completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:22 p.m.