Triple

T11693249
Position Surface form Disambiguated ID Type / Status
Subject Eisenhower Health E277921 entity
Predicate city P40 FINISHED
Object Rancho Mirage E183779 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: Rancho Mirage | Statement: [Eisenhower Health, city, Rancho Mirage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rancho Mirage
Context triple: [Eisenhower Health, city, Rancho Mirage]
  • A. Rancho Mirage chosen
    Rancho Mirage is an affluent resort city in Southern California known for its golf courses, luxury hotels, and desert climate.
  • B. Palm Desert
    Palm Desert is a resort city in Southern California known for its golf courses, upscale shopping, and desert landscapes.
  • C. Palm Springs
    Palm Springs is a desert resort city in Southern California known for its mid-century modern architecture, hot springs, golf courses, and tourism.
  • D. Palm Springs
    Palm Springs is a 2020 American science-fiction romantic comedy film known for its time-loop premise and starring Andy Samberg and Cristin Milioti.
  • E. Cathedral City
    Cathedral City is a desert community in Southern California known as a residential and resort city within the Greater Palm Springs area.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47b9eb48190976a35e91e25b56b completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1304cf94c819084b47fa260ca3a9f completed April 28, 2026, 10:10 p.m.
Created at: April 8, 2026, 9:40 p.m.