Triple

T5843548
Position Surface form Disambiguated ID Type / Status
Subject Parbati River E129650 entity
Predicate flowsNear P350 FINISHED
Object Manikaran E365430 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: Manikaran | Statement: [Parbati River, flowsNear, Manikaran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manikaran
Context triple: [Parbati River, flowsNear, Manikaran]
  • A. Manikaran chosen
    Manikaran is a small pilgrimage town in Himachal Pradesh, India, renowned for its hot springs and Sikh and Hindu religious sites in the Parvati Valley.
  • B. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • C. Gajanana
    Gajanana is a revered aspect of the Hindu deity Ganesha, emphasizing his elephant-faced form and role as the remover of obstacles and bestower of wisdom.
  • D. Manikonda
    Manikonda is a rapidly developing residential and IT suburb in the western part of Hyderabad, known for its proximity to major technology hubs and corporate campuses.
  • E. Mahandri
    Mahandri is a small village located in Pakistan’s scenic Kaghan Valley, known for its lush landscapes and role as a stopover for tourists exploring the region.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034d9da0c8190970319d0dc2fc73f completed March 22, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1a6587c8190b76b1005178c29a9 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:54 p.m.