Triple

T12659818
Position Surface form Disambiguated ID Type / Status
Subject Haro River E302387 entity
Predicate flowsInto P408 FINISHED
Object Tarbela Reservoir E76597 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: Tarbela Reservoir | Statement: [Haro River, flowsInto, Tarbela Reservoir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarbela Reservoir
Context triple: [Haro River, flowsInto, Tarbela Reservoir]
  • A. Tarbela Dam chosen
    Tarbela Dam is one of the world’s largest earth-filled dams, located in Pakistan and serving as a major source of hydroelectric power and irrigation water.
  • B. Tajewala Barrage
    Tajewala Barrage was an older irrigation and water diversion structure on the Yamuna River in Haryana, India, that was eventually superseded by the modern Hathni Kund Barrage.
  • C. Temghar Dam
    Temghar Dam is a major earthfill dam in Maharashtra, India, built for water supply, irrigation, and flood control in the Pune region.
  • D. Osman Sagar Dam
    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.
  • E. Taunsa Barrage
    Taunsa Barrage is a major irrigation and flood-control structure on the Indus River in Punjab, Pakistan, crucial for regional agriculture and water management.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617b07ec8190b714f04ae6654060 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66885e44c8190a650301b0e86d0f4 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:19 p.m.