Triple

T12606786
Position Surface form Disambiguated ID Type / Status
Subject Battakundi E300999 entity
Predicate nearbyPlace P2064 FINISHED
Object Babusar Pass E291261 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: Babusar Pass | Statement: [Battakundi, nearbyPlace, Babusar Pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babusar Pass
Context triple: [Battakundi, nearbyPlace, Babusar Pass]
  • A. Babusar Pass chosen
    Babusar Pass is a high-altitude mountain pass in northern Pakistan, known for its scenic views, alpine meadows, and as a key route connecting the Kaghan Valley with Gilgit-Baltistan.
  • B. Wakhjir Pass
    Wakhjir Pass is a high mountain pass in the Hindu Kush that forms a remote and rugged border crossing between Afghanistan and China.
  • C. Kunzum Pass
    Kunzum Pass is a high-altitude mountain pass in Himachal Pradesh, India, that serves as a key gateway between the Lahaul and Spiti valleys in the Himalayas.
  • D. Banihal Pass
    Banihal Pass is a high mountain pass in the Himalayas that serves as a key route connecting the Kashmir Valley with the rest of India.
  • E. Hispar Pass
    Hispar Pass is a high-altitude mountain pass in the Karakoram range of Pakistan that forms a key glacial route linking the Hispar and Biafo Glaciers.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e7f2dc8190a42cab7a0e5ea7f3 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ecd1b748190bd961497b30e1ae5 completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:11 p.m.