Triple

T2442689
Position Surface form Disambiguated ID Type / Status
Subject Keys View E53312 entity
Predicate hasNearbyCity P350 FINISHED
Object Palm Springs E190789 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: Palm Springs | Statement: [Keys View, hasNearbyCity, Palm Springs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palm Springs
Context triple: [Keys View, hasNearbyCity, Palm Springs]
  • A. Palm Springs chosen
    Palm Springs is a desert resort city in Southern California known for its mid-century modern architecture, hot springs, golf courses, and tourism.
  • B. Palm Desert
    Palm Desert is a resort city in Southern California known for its golf courses, upscale shopping, and desert landscapes.
  • C. Rancho Mirage
    Rancho Mirage is an affluent resort city in Southern California known for its golf courses, luxury hotels, and desert climate.
  • D. Santa Ana
    Santa Ana is a major city in Orange County, California, known as a dense urban and governmental center within the Greater Los Angeles metropolitan area.
  • E. Barstow
    Barstow is a small city in Southern California known as a major transportation hub and gateway between Los Angeles, Las Vegas, and the Mojave Desert.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abca20d2088190846162b85472d739 completed March 7, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af65436c2c8190a8f1aba2852b52e8 completed March 10, 2026, 12:26 a.m.
Created at: March 6, 2026, 9:43 p.m.