Triple

T8517148
Position Surface form Disambiguated ID Type / Status
Subject Badami E201601 entity
Predicate hasStructure P35 FINISHED
Object Agastya Lake E738342 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: Agastya Lake | Statement: [Badami, hasStructure, Agastya Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agastya Lake
Context triple: [Badami, hasStructure, Agastya Lake]
  • A. Agastya Lake chosen
    Agastya Lake is a historic man-made reservoir in Badami, Karnataka, surrounded by red sandstone cliffs and ancient temples, and regarded as a sacred water body.
  • B. Vihar Lake
    Vihar Lake is an artificial freshwater reservoir in Mumbai, India, that serves as one of the city’s important sources of drinking water and lies within the Sanjay Gandhi National Park.
  • C. Lulusar Lake
    Lulusar Lake is a scenic high-altitude lake in Pakistan’s Kaghan Valley, renowned for its clear waters and surrounding mountain landscapes.
  • D. Siddheshwar Lake
    Siddheshwar Lake is a prominent sacred lake and pilgrimage spot in Solapur, Maharashtra, known for its temple dedicated to Lord Siddheshwar situated on an island within the lake.
  • E. Satpara Lake
    Satpara Lake is a high-altitude natural lake near Skardu in northern Pakistan, known for its turquoise waters, surrounding rugged mountains, and role as a key freshwater and hydroelectric resource for the region.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe62550908190af882019d68a904a completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d37df3081909d8d38363b8d2304 completed April 2, 2026, 1:20 p.m.
Created at: March 30, 2026, 6:15 p.m.