Triple

T17128455
Position Surface form Disambiguated ID Type / Status
Subject Old Mumbai–Pune Highway E415658 entity
Predicate passesNear P416 FINISHED
Object Bhushi Dam E405873 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: Bhushi Dam | Statement: [Old Mumbai–Pune Highway, passesNear, Bhushi Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhushi Dam
Context triple: [Old Mumbai–Pune Highway, passesNear, Bhushi Dam]
  • A. Bhushi Dam chosen
    Bhushi Dam is a popular masonry dam and scenic picnic spot near Lonavala in Maharashtra, India, known for its cascading water steps and monsoon-time crowds.
  • B. Bhima Dam
    Bhima Dam is a major irrigation and water management structure built across the Bhima River in India.
  • C. Bisalpur Dam
    Bisalpur Dam is a major reservoir and water supply dam in Rajasthan, India, crucial for providing drinking water and irrigation to several nearby cities and regions.
  • D. Ghataprabha Dam
    Ghataprabha Dam is a major irrigation and hydroelectric dam in Karnataka, India, built across the Ghataprabha River to support agriculture and water supply in the region.
  • E. Rawal Dam
    Rawal Dam is a water reservoir structure near Islamabad, Pakistan, built to store and supply water from Rawal Lake for the surrounding 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f0285a408190ae5e4c4679c07fbf completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0180c3be308190ab9972e79287218b completed May 11, 2026, 7:09 a.m.
Created at: April 10, 2026, 5:36 a.m.