Triple

T5583983
Position Surface form Disambiguated ID Type / Status
Subject San Jacinto Peak E146707 entity
Predicate overlooks P1323 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: [San Jacinto Peak, overlooks, Palm Springs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palm Springs
Context triple: [San Jacinto Peak, overlooks, 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. Santa Ana
    Santa Ana is a barangay (village-level administrative division) within the highly urbanized city of Taguig in Metro Manila, Philippines.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02084b5f0819089b62283c57704ec completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0918b088190b0fcd0ab02091eb2 completed March 23, 2026, 3:16 a.m.
Created at: March 22, 2026, 3:37 p.m.