Triple

T9090639
Position Surface form Disambiguated ID Type / Status
Subject Sherman Oaks E217871 entity
Predicate hasRegionCode P3446 FINISHED
Object US-CA E26 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: US-CA | Statement: [Sherman Oaks, hasRegionCode, US-CA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: US-CA
Context triple: [Sherman Oaks, hasRegionCode, US-CA]
  • A. California, United States chosen
    California, United States is a large and populous U.S. state on the West Coast known for its diverse geography, major technology and entertainment industries, and cultural and economic influence.
  • B. California
    California is a popular Volkswagen camper van model known for its integrated living amenities and suitability for road trips and outdoor travel.
  • C. CA
    CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
  • D. CA
    CA is the commonly used abbreviation for the Court of Appeals of the Philippines, the country's second-highest judicial body that reviews decisions of lower courts and quasi-judicial agencies.
  • E. CA
    CA is the official abbreviation used for the professional head of the Australian Army.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc965b73848190af309cd7d2f14066 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017ecc8b4819094dc0b009484ec00 completed April 3, 2026, 7:41 p.m.
Created at: March 30, 2026, 7:14 p.m.