Triple

T9200924
Position Surface form Disambiguated ID Type / Status
Subject Neermahal Palace E220834 entity
Predicate hasViewOf P854 FINISHED
Object Rudrasagar Lake E785806 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: Rudrasagar Lake | Statement: [Neermahal Palace, hasViewOf, Rudrasagar Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rudrasagar Lake
Context triple: [Neermahal Palace, hasViewOf, Rudrasagar Lake]
  • A. Rudrasagar Lake chosen
    Rudrasagar Lake is a scenic lake in Tripura, India, best known for housing the water palace Neermahal at its center.
  • B. Swaroop Sagar Lake
    Swaroop Sagar Lake is a man-made freshwater lake in Udaipur, Rajasthan, that forms part of the city’s interconnected lake system and helps regulate its water levels.
  • C. Kirat Sagar Lake
    Kirat Sagar Lake is a historic man-made lake near Mahoba in Uttar Pradesh, India, known for its scenic beauty and cultural significance.
  • D. Agastya Lake
    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.
  • E. Madhukar Sagar Lake
    Madhukar Sagar Lake is a prominent reservoir and scenic water body located near Mahoba in the Bundelkhand region of Uttar Pradesh, India.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9429b448190a078e9cdfedd4918 completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09b96f0e88190bd80594fe3f769b8 completed April 4, 2026, 5:03 a.m.
Created at: March 30, 2026, 7:25 p.m.