Triple

T15607495
Position Surface form Disambiguated ID Type / Status
Subject Haripur District E375198 entity
Predicate contains P35 FINISHED
Object Tarbela Dam 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 Dam | Statement: [Haripur District, contains, Tarbela Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarbela Dam
Context triple: [Haripur District, contains, Tarbela Dam]
  • 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. 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.
  • C. 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was an older irrigation and water diversion structure on the Yamuna River in Haryana, India, that was eventually superseded by the modern Hathni Kund Barrage.
  • D. Karun-1 Dam
    Karun-1 Dam is a major hydroelectric arch dam in southwestern Iran, built on the Karun River to generate power and control floods.
  • E. Temghar Dam
    Temghar Dam is a major earthfill dam in Maharashtra, India, built for water supply, irrigation, and flood control in the Pune 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7ec08c8190b3842cf3043aea27 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d51c28819097b8c2c0e2307401 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.