Triple

T21697087
Position Surface form Disambiguated ID Type / Status
Subject Department of Pando E535550 entity
Predicate hasCity P316 FINISHED
Object Cobija 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: Cobija | Statement: [Department of Pando, hasCity, Cobija]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cobija
Context triple: [Department of Pando, hasCity, Cobija]
  • A. Cobija chosen
    Cobija is a small Bolivian city in the Amazon rainforest near the border with Brazil, known as an important regional center for trade and rubber production.
  • B. Kasur
    Kasur is a historic city in Pakistan’s Punjab province, renowned as the home and burial place of the Sufi poet Bulleh Shah.
  • C. Újszőny
    Újszőny is a historical locality in present-day Komárom, Hungary, known as the birthplace of the Austrian poet and soldier Theodor Körner.
  • D. Siirt blanket
    The Siirt blanket is a traditional Turkish woolen blanket, often made from mohair, renowned for its warmth, softness, and distinctive regional craftsmanship.
  • E. Lucignolo
    Lucignolo is the Italian name for Lampwick, a mischievous boy from Carlo Collodi’s "The Adventures of Pinocchio" who leads Pinocchio into trouble.
  • 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_69e0c46a6ee481908836e1420fb78c9b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef9b7b8da48190a863ac45eb4465a8 completed April 27, 2026, 5:23 p.m.
Created at: April 16, 2026, 6:45 p.m.