Triple

T2684868
Position Surface form Disambiguated ID Type / Status
Subject Panmah Glacier E57459 entity
Predicate languageOfToponym P15 FINISHED
Object Balti E77468 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: Balti | Statement: [Panmah Glacier, languageOfToponym, Balti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balti
Context triple: [Panmah Glacier, languageOfToponym, Balti]
  • A. Balti chosen
    Balti is a Tibetic language spoken primarily in the Baltistan region of northern Pakistan and parts of Ladakh, India.
  • B. Bakkhali
    Bakkhali is a seaside town and beach resort on the Bay of Bengal in the Indian state of West Bengal, known for its tranquil beaches and scenic coastal views.
  • C. Khinkali
    Khinkali is a popular Georgian dumpling typically filled with spiced meat and broth, known for its distinctive twisted top and eaten by hand.
  • D. Rozogi
    Rozogi is a village in northern Poland that serves as a local administrative and service center within the Warmian-Masurian Voivodeship.
  • E. Böhmisch Aicha
    Böhmisch Aicha is a historical town in the Bohemian region of Central Europe, now known as Česká Lípa in the Czech Republic.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9edba5c8190b86d6cba0f1964e2 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0700d548190944544495a2d42f6 completed March 10, 2026, 4:39 a.m.
Created at: March 6, 2026, 9:54 p.m.