Triple

T12734477
Position Surface form Disambiguated ID Type / Status
Subject northwestern Nevada E304326 entity
Predicate containsTown P847 FINISHED
Object Orovada E301654 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: Orovada | Statement: [northwestern Nevada, containsTown, Orovada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orovada
Context triple: [northwestern Nevada, containsTown, Orovada]
  • A. Orovada chosen
    Orovada is a small unincorporated rural community in northern Nevada known for its agricultural surroundings and location along U.S. Route 95.
  • B. Aorsi
    Aorsi were an ancient Iranian-speaking nomadic people of the Eurasian steppe, associated with the Sarmatian cultural sphere and known from Greco-Roman sources.
  • C. Arganil
    Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • D. Oneroa
    Oneroa is the principal village and administrative center on the island of Mangaia in the Cook Islands.
  • E. Oneroa
    Oneroa is the main village and commercial hub of Waiheke Island in New Zealand, known for its beaches, cafes, and relaxed coastal atmosphere.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646902408190b29268d864833b80 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8e2dbc81909c1c85ca699a2679 completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:26 p.m.