Triple

T16813479
Position Surface form Disambiguated ID Type / Status
Subject Apache Lake E408675 entity
Predicate formedByDam P25354 FINISHED
Object Horse Mesa 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: Horse Mesa Dam | Statement: [Apache Lake, formedByDam, Horse Mesa Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Horse Mesa Dam
Context triple: [Apache Lake, formedByDam, Horse Mesa Dam]
  • A. Horse Mesa Dam chosen
    Horse Mesa Dam is a concrete thin-arch dam on Arizona’s Salt River that forms Apache Lake and helps provide hydroelectric power, water storage, and flood control in the region.
  • B. Jemez Canyon Dam
    Jemez Canyon Dam is a flood-control and water-management structure on the Jemez River in New Mexico, operated by the U.S. Army Corps of Engineers.
  • C. La Mesa Dam
    La Mesa Dam is a major water reservoir in Quezon City, Philippines, that supplies a significant portion of Metro Manila’s drinking water.
  • D. Pueblo Dam
    Pueblo Dam is a large multipurpose dam in Colorado that provides water storage, irrigation, and flood control as part of the Fryingpan–Arkansas water diversion and management system.
  • E. Coyote Valley Dam
    Coyote Valley Dam is a large earth-fill dam in Mendocino County, California, that forms Lake Mendocino for water supply, flood control, and recreation on the Russian River.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e01fb8819081cf2c08f29448da completed April 18, 2026, 4:35 p.m.
Created at: April 10, 2026, 5:23 a.m.