Triple

T12642977
Position Surface form Disambiguated ID Type / Status
Subject Rio Arriba County, New Mexico E301944 entity
Predicate contains P35 FINISHED
Object El Vado Lake E881619 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: El Vado Lake | Statement: [Rio Arriba County, New Mexico, contains, El Vado Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Vado Lake
Context triple: [Rio Arriba County, New Mexico, contains, El Vado Lake]
  • A. El Vado Lake chosen
    El Vado Lake is a man-made reservoir in northern New Mexico, popular for fishing, boating, and camping within El Vado Lake State Park.
  • B. Canyon Lake
    Canyon Lake is a small, gated city in Riverside County, California, centered around a private reservoir and known for its recreational lakefront lifestyle.
  • C. Canyon Lake
    Canyon Lake is a reservoir in central Arizona popular for boating, fishing, and scenic desert canyon views along the Salt River.
  • D. Atco Lake
    Atco Lake is a small recreational lake in Atco, New Jersey, known for fishing, boating, and its surrounding parkland.
  • E. Rose Canyon Lake
    Rose Canyon Lake is a small recreational mountain lake in Arizona popular for fishing, camping, and picnicking amid the forested slopes of the Santa Catalina Mountains.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614bf2f881909976becdf747f4fb completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8c0510081909459662cb91a82b4 completed May 3, 2026, 2:53 a.m.
Created at: April 9, 2026, 5:17 p.m.