Triple

T2495084
Position Surface form Disambiguated ID Type / Status
Subject Swat Valley E52135 entity
Predicate hasArchaeologicalSite P1098 FINISHED
Object Udegram E281517 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: Udegram | Statement: [Swat Valley, hasArchaeologicalSite, Udegram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Udegram
Context triple: [Swat Valley, hasArchaeologicalSite, Udegram]
  • A. Udegram chosen
    Udegram is an ancient archaeological and historical village in Pakistan’s Swat Valley, known for its Buddhist and early Islamic remains.
  • B. Yamunanagar
    Yamunanagar is an industrial city in the Indian state of Haryana, known for its plywood, paper, and metal industries and its proximity to the Yamuna River.
  • C. Alirajpur
    Alirajpur is a town and district headquarters in western Madhya Pradesh, India, known for its predominantly tribal population and vibrant indigenous culture.
  • D. Vikrampur
    Vikrampur was a historic urban and political center in the Bengal region, renowned as an important seat of power and culture in medieval South Asia.
  • E. Ashoknagar
    Ashoknagar is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and regional trade.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd19541048190b9e39db119c20fe8 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af906499688190a21984590b8caadc completed March 10, 2026, 3:30 a.m.
Created at: March 6, 2026, 9:45 p.m.