Triple

T19576041
Position Surface form Disambiguated ID Type / Status
Subject Sonamarg E489860 entity
Predicate nearbyPass P41054 FINISHED
Object Zoji La 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: Zoji La | Statement: [Sonamarg, nearbyPass, Zoji La]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoji La
Context triple: [Sonamarg, nearbyPass, Zoji La]
  • A. Zoji La chosen
    Zoji La is a high mountain pass in the Himalayas that serves as a crucial road link between the Kashmir Valley and the Ladakh region in India.
  • B. Larat
    Larat is one of the islands in Indonesia’s Tanimbar archipelago, located in the Maluku province.
  • C. Jibal
    Jibal was a historical region in western Iran, centered around the Zagros Mountains and key cities like Rayy and Hamadan, that served as an important political and cultural center in the medieval Islamic world.
  • D. Lolak
    Lolak is a town in North Sulawesi, Indonesia, serving as the administrative and political center of Bolaang Mongondow Regency.
  • E. Chouburja
    Chouburja is a notable architectural section of Lohagarh Fort in Bharatpur, Rajasthan, recognized for its historic defensive and structural significance.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e64024c5b08190bbff6df633857874 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.