Triple

T14478428
Position Surface form Disambiguated ID Type / Status
Subject Gandipet E359035 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Osman Sagar Dam E354459 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: Osman Sagar Dam | Statement: [Gandipet, hasNearbyAttraction, Osman Sagar Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osman Sagar Dam
Context triple: [Gandipet, hasNearbyAttraction, Osman Sagar Dam]
  • A. Osman Sagar Dam chosen
    Osman Sagar Dam is a reservoir dam near Hyderabad, India, built across the Musi River to provide drinking water and flood protection for the city.
  • B. Temghar Dam
    Temghar Dam is a major earthfill dam in Maharashtra, India, built for water supply, irrigation, and flood control in the Pune region.
  • C. Darra-e-Nur Dam
    Darra-e-Nur Dam is a hydroelectric and irrigation dam located on the Kabul River in eastern Afghanistan.
  • D. Almatti Dam
    Almatti Dam is a major hydroelectric and irrigation dam in Karnataka, India, built across the Krishna River as part of the Upper Krishna Project.
  • E. Massingir Dam
    Massingir Dam is a large embankment dam on the Olifants (Lepelle) River in Mozambique, primarily used for irrigation, hydroelectric power generation, and water regulation.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9248edb48190a74eb032aeaac027 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb7543f88190ac336c75188eb00a completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:20 a.m.