Triple

T7892412
Position Surface form Disambiguated ID Type / Status
Subject Swat District E183266 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 District, hasArchaeologicalSite, Udegram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Udegram
Context triple: [Swat District, 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. Siddharthnagar
    Siddharthnagar is a town and district headquarters in the Purvanchal region of eastern Uttar Pradesh, India, known for its proximity to important Buddhist heritage sites.
  • C. 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.
  • D. Akbarpur
    Akbarpur is a town in the Indian state of Uttar Pradesh known as the birthplace of socialist leader Ram Manohar Lohia.
  • E. Alirajpur
    Alirajpur is a town and district headquarters in western Madhya Pradesh, India, known for its predominantly tribal population and vibrant indigenous culture.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39fef2e48190a6282c217c33c57a completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc935fac3081908d70cf29b90cfcff completed April 1, 2026, 3:39 a.m.
Created at: March 30, 2026, 5 p.m.