Triple

T9060437
Position Surface form Disambiguated ID Type / Status
Subject Thomas Fire E217106 entity
Predicate affectedCity P10973 FINISHED
Object Carpinteria, California E614423 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: Carpinteria, California | Statement: [Thomas Fire, affectedCity, Carpinteria, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carpinteria, California
Context triple: [Thomas Fire, affectedCity, Carpinteria, California]
  • A. Carpinteria
    Carpinteria is a small coastal city in Southern California known for its beaches, laid-back atmosphere, and annual avocado festival.
  • B. Carpinteria, California, United States chosen
    Carpinteria is a small coastal city in Santa Barbara County, California, known for its beaches, agriculture, and relaxed seaside community.
  • C. Encinitas
    Encinitas is a coastal city in northern San Diego County, California, known for its beaches, surf culture, and relaxed Southern California lifestyle.
  • D. Capitola, California
    Capitola, California is a small coastal city on Monterey Bay known for its colorful seaside village, beaches, and role as a popular tourist destination near Santa Cruz.
  • E. Oceanside
    Oceanside is a coastal city in northern San Diego County known for its beaches, historic wooden pier, and laid-back Southern California surf culture.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7eca6d8c8190b1a11a60d6649f78 completed April 1, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d121dce22881909484977629cc8a54 completed April 4, 2026, 2:36 p.m.
Created at: March 30, 2026, 7:10 p.m.