Triple

T7045791
Position Surface form Disambiguated ID Type / Status
Subject Guru Shikhar E163626 entity
Predicate partOf P40 FINISHED
Object Mount Abu region E163628 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: Mount Abu region | Statement: [Guru Shikhar, partOf, Mount Abu region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Abu region
Context triple: [Guru Shikhar, partOf, Mount Abu region]
  • A. Mount Abu plateau chosen
    Mount Abu plateau is a highland region in western India known for its cool climate, scenic landscapes, and the hill station of Mount Abu.
  • B. Agam Valley
    Agam Valley is a fertile, scenic valley in Indonesia’s Minangkabau Highlands known for its terraced agriculture and traditional Minangkabau villages.
  • C. Sangla Valley
    Sangla Valley is a picturesque Himalayan valley in Himachal Pradesh, India, renowned for its apple orchards, traditional Kinnauri culture, and dramatic mountain landscapes.
  • D. Shimla Hills
    Shimla Hills is a scenic hilly region in present-day Himachal Pradesh, India, known for its colonial-era hill stations, cool climate, and Himalayan landscapes.
  • E. Valdambra valley
    Valdambra valley is a scenic valley in Tuscany, Italy, known for its rolling hills, medieval villages, and agricultural landscapes along the Ambra River.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e238c7a4819095f5ff7283d48da8 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7887e6e50819088c23c9b45861a54 completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:37 p.m.