Triple

T8669398
Position Surface form Disambiguated ID Type / Status
Subject India–China border E205756 entity
Predicate hasKeyPass P66500 FINISHED
Object Shipki La E105540 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: Shipki La | Statement: [India–China border, hasKeyPass, Shipki La]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shipki La
Context triple: [India–China border, hasKeyPass, Shipki La]
  • A. Shipki La chosen
    Shipki La is a high-altitude mountain pass on the India–China (Tibet) border in the Himalayas, serving as an important trade and transit route between the two countries.
  • B. Vidova Gora
    Vidova Gora is a prominent mountain peak on the Croatian island of Brač, known for its sweeping views over the Adriatic Sea and nearby islands.
  • C. Maglić Mountain
    Maglić Mountain is the highest peak in Bosnia and Herzegovina, known for its rugged limestone terrain and dramatic scenery in the Dinaric Alps.
  • D. Czarna Góra
    Czarna Góra is a village in southern Poland, known as a mountain resort area in the Tatra region.
  • E. Plješevica
    Plješevica is a prominent mountain range in the Dinaric Alps, straddling the border region between Croatia and Bosnia and Herzegovina.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4917cb9881909a73b74e54250613 completed March 31, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd2b996481908da33fbd95494376 completed April 2, 2026, 8:10 p.m.
Created at: March 30, 2026, 6:31 p.m.