Triple

T8615130
Position Surface form Disambiguated ID Type / Status
Subject Khasi Hills E204015 entity
Predicate hasAttraction P105 FINISHED
Object Umiam Lake E236376 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: Umiam Lake | Statement: [Khasi Hills, hasAttraction, Umiam Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umiam Lake
Context triple: [Khasi Hills, hasAttraction, Umiam Lake]
  • A. Umiam Lake chosen
    Umiam Lake is a scenic man-made reservoir near Shillong in Meghalaya, India, known for its picturesque views, water sports, and role as a major tourist attraction in the region.
  • B. Benoni Lake
    Benoni Lake is a man-made recreational lake in Benoni, South Africa, known for boating, fishing, and surrounding parkland.
  • C. Madatapa Lake
    Madatapa Lake is a high-altitude volcanic lake in southern Georgia, notable for its rich birdlife and inclusion within the protected Javakheti National Park.
  • D. Tatlayoko Lake
    Tatlayoko Lake is a remote, scenic lake in British Columbia’s interior, known for its rugged mountain surroundings and outdoor recreation opportunities.
  • E. Shiga Lakes
    Shiga Lakes is a professional basketball team based in Shiga Prefecture, Japan, competing in the country’s top-tier B.League.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc47020748819090f658c115c1a7b9 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef33f0aa0819091e101f822c53c0f completed April 2, 2026, 10:52 p.m.
Created at: March 30, 2026, 6:25 p.m.