Triple

T22926018
Position Surface form Disambiguated ID Type / Status
Subject Conchas River E569307 entity
Predicate hasDam P8736 FINISHED
Object Conchas Dam NE NERFINISHED

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: Conchas Dam | Statement: [Conchas River, hasDam, Conchas Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conchas Dam
Context triple: [Conchas River, hasDam, Conchas Dam]
  • A. Conchas Dam chosen
    Conchas Dam is a large earthen and concrete dam on the Canadian River in New Mexico, built for irrigation, flood control, and recreation.
  • B. Longhorn Dam
    Longhorn Dam is a concrete dam on the Colorado River in Austin, Texas, that impounds the river to form Lady Bird Lake and helps manage water levels and flow through the city.
  • C. Big Bend Dam
    Big Bend Dam is a large hydroelectric and flood-control dam on the Missouri River in South Dakota, forming Lake Sharpe as part of the Pick–Sloan Missouri Basin Program.
  • D. Sam Rayburn Dam
    Sam Rayburn Dam is a large earthen dam on the Angelina River in East Texas that provides flood control, hydroelectric power, and water storage for the surrounding region.
  • E. Palo Verde Dam
    Palo Verde Dam is a concrete diversion dam on the Colorado River that helps manage irrigation and water delivery along the border between California and Arizona.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d90a9481908ea10019980b3951 completed April 29, 2026, 3:54 a.m.
Created at: April 17, 2026, 3:43 p.m.