Triple

T16528981
Position Surface form Disambiguated ID Type / Status
Subject Khadakwasla Dam E401512 entity
Predicate nearLocality P350 FINISHED
Object Khadakwasla E401496 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: Khadakwasla | Statement: [Khadakwasla Dam, nearLocality, Khadakwasla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khadakwasla
Context triple: [Khadakwasla Dam, nearLocality, Khadakwasla]
  • A. Khadakwasla chosen
    Khadakwasla is a suburban area near Pune in Maharashtra, India, known for its lake, dam, and military establishments.
  • B. Chakdara
    Chakdara is a town in Pakistan’s Khyber Pakhtunkhwa province, known as a strategic gateway to the Swat Valley and an area rich in archaeological and historical significance.
  • C. Khandela
    Khandela is a prominent town in Rajasthan, India, known historically as a local trading and cultural center in the Sikar region.
  • D. Dholka
    Dholka is a historic town in the Ahmedabad district of Gujarat, India, known for its ancient architecture and role as a regional trading center.
  • E. Sakesar
    Sakesar is a prominent mountain peak in Pakistan’s Punjab region, known for its scenic views, cooler climate, and strategic location within the Salt Range.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed57be481908625d4c5aab0940c completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ed808448190936ea51a9a28a95a completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:14 a.m.