Triple

T1238358
Position Surface form Disambiguated ID Type / Status
Subject Riverside County E26599 entity
Predicate containsCity P294 FINISHED
Object Temecula E71729 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: Temecula | Statement: [Riverside County, containsCity, Temecula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Temecula
Context triple: [Riverside County, containsCity, Temecula]
  • A. Temecula, California chosen
    Temecula, California is a rapidly growing city in Southern California’s Inland Empire region, best known for its wine country, historic Old Town, and role as a regional tourism and economic hub.
  • B. Escondido
    Escondido is a city in northern San Diego County, California, known as one of the region’s older inland communities with a mix of suburban neighborhoods, agriculture, and historic downtown areas.
  • C. Cathedral City
    Cathedral City is a desert community in Southern California known as a residential and resort city within the Greater Palm Springs area.
  • D. Palm Desert
    Palm Desert is a resort city in Southern California known for its golf courses, upscale shopping, and desert landscapes.
  • E. Fullerton
    Fullerton is a major Chicago Transit Authority station in the Lincoln Park neighborhood that serves multiple 'L' lines and connects riders to both local destinations and downtown Chicago.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf406b988190a12aa26bbcb88d6a completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69adbf379d048190924ad8dfa9ac5e7a completed March 8, 2026, 6:25 p.m.
Created at: March 1, 2026, 7:47 p.m.