Triple

T20046885
Position Surface form Disambiguated ID Type / Status
Subject Bangka Regency E497582 entity
Predicate containsSettlement P847 FINISHED
Object Belinyu 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: Belinyu | Statement: [Bangka Regency, containsSettlement, Belinyu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belinyu
Context triple: [Bangka Regency, containsSettlement, Belinyu]
  • A. Belinyu chosen
    Belinyu is a coastal town in the northern part of Bangka Island in Indonesia, known historically for tin mining and fishing.
  • B. Zólyom
    Zólyom is the historical Hungarian name for the Slovak town of Zvolen, an important medieval center in central Slovakia.
  • C. Gyuri
    Gyuri is a Hungarian given name, commonly used as a diminutive or familiar form of the name György.
  • D. Gyergyay
    Gyergyay is a Hungarian-origin surname associated with the actor Steven Geray (born István Gyergyay).
  • E. Enying
    Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632b2de48190abe2b277d89eb695 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:37 p.m.