Triple

T14774222
Position Surface form Disambiguated ID Type / Status
Subject Skierniewice E347212 entity
Predicate hasTwinTown P919 FINISHED
Object Mladenovac E152815 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: Mladenovac | Statement: [Skierniewice, hasTwinTown, Mladenovac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mladenovac
Context triple: [Skierniewice, hasTwinTown, Mladenovac]
  • A. Mladenovac chosen
    Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
  • B. Obrenovac
    Obrenovac is a suburban municipality of Belgrade in Serbia, known for its industrial facilities and proximity to the Sava River.
  • C. Baćevac
    Baćevac is a village located within the municipality of Barajevo in the Belgrade District of Serbia.
  • D. Zvornik
    Zvornik is a historic town and municipality in northeastern Bosnia and Herzegovina, situated on the banks of the Drina River near the border with Serbia.
  • E. Jasenica
    Jasenica is a river in central Serbia that flows through the Šumadija region before joining the Velika Morava.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec815dd5081909e927911c06b2d66 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe72a347808190a72dfd3a1b776982 completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:31 a.m.