Triple

T11224847
Position Surface form Disambiguated ID Type / Status
Subject Bhamala Stupa E265667 entity
Predicate locatedNear P294 FINISHED
Object Khanpur Lake E34588 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: Khanpur Lake | Statement: [Bhamala Stupa, locatedNear, Khanpur Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khanpur Lake
Context triple: [Bhamala Stupa, locatedNear, Khanpur Lake]
  • A. Lakha Banjara Lake
    Lakha Banjara Lake is a prominent artificial lake and local landmark situated near the city of Sagar in Madhya Pradesh, India.
  • B. Sukhna Lake
    Sukhna Lake is a man-made reservoir at the foothills of the Shivalik range, known as a popular recreational and scenic spot in Chandigarh, India.
  • C. Rajsamand Lake
    Rajsamand Lake is a historic artificial freshwater lake in Rajasthan, India, renowned for its scenic beauty, marble embankments, and significance to the former Mewar kingdom.
  • D. Gobind Sagar Lake
    Gobind Sagar Lake is a large artificial reservoir in Himachal Pradesh, India, renowned for its role in hydroelectric power generation, irrigation, and fisheries.
  • E. Rawal Lake chosen
    Rawal Lake is an artificial reservoir and popular recreational spot located near Islamabad in Pakistan’s Margalla Hills foothills.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ee15d4819087449058addef597 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad269b248190bb72e560e3efc0ce completed April 19, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:30 p.m.