Triple

T5529961
Position Surface form Disambiguated ID Type / Status
Subject Rock Garden of Chandigarh E145023 entity
Predicate adjacentTo P224 FINISHED
Object Sukhna Lake E146781 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: Sukhna Lake | Statement: [Rock Garden of Chandigarh, adjacentTo, Sukhna Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sukhna Lake
Context triple: [Rock Garden of Chandigarh, adjacentTo, Sukhna Lake]
  • A. Sukhna Lake chosen
    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.
  • B. Rawal Lake
    Rawal Lake is an artificial reservoir and popular recreational spot located near Islamabad in Pakistan’s Margalla Hills foothills.
  • C. 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.
  • D. Lakha Banjara Lake
    Lakha Banjara Lake is a prominent artificial lake and local landmark situated near the city of Sagar in Madhya Pradesh, India.
  • E. Lal Dighi
    Lal Dighi is a historic water tank and public square in the heart of Kolkata, India, surrounded by important colonial-era administrative and civic buildings.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f996e088190844cba2c4458bd76 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02801cbf881909da344a057520f32 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:34 p.m.