Triple

T7711014
Position Surface form Disambiguated ID Type / Status
Subject Low Desert E174750 entity
Predicate contains P35 FINISHED
Object Coachella Valley E23785 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: Coachella Valley | Statement: [Low Desert, contains, Coachella Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coachella Valley
Context triple: [Low Desert, contains, Coachella Valley]
  • A. Coachella Valley chosen
    Coachella Valley is a desert region in Southern California known for its resort cities, agriculture, and major music and arts festivals.
  • B. Coachella, California
    Coachella, California is a city in Riverside County’s Coachella Valley, best known for its agricultural roots and proximity to the famous Coachella Valley Music and Arts Festival held in the nearby city of Indio.
  • C. Mojave, California
    Mojave, California is a small desert community in Kern County known as a hub for aerospace testing and commercial spaceflight activities.
  • D. Valley of the Sun
    The Valley of the Sun is a major metropolitan region in central Arizona centered on Phoenix, known for its desert climate, rapid growth, and sprawling urban development.
  • E. Palm Desert
    Palm Desert is a resort city in Southern California known for its golf courses, upscale shopping, and desert landscapes.
  • 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_69c6995b3e8c8190833108f883d5f53c completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ad6b788190892b96ab523d111f completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8accffffc8190b307ad4741e688a8 completed March 29, 2026, 4:38 a.m.
Created at: March 27, 2026, 4:04 p.m.