Triple

T9919721
Position Surface form Disambiguated ID Type / Status
Subject Shizuoka E185961 entity
Predicate hasSisterCity P919 FINISHED
Object Salinas E30301 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: Salinas | Statement: [Shizuoka, hasSisterCity, Salinas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salinas
Context triple: [Shizuoka, hasSisterCity, Salinas]
  • A. Salinas chosen
    Salinas is a prominent agricultural city in Northern California, often called the "Salad Bowl of the World" and known as the birthplace of author John Steinbeck.
  • B. Salinas
    Salinas is a small coastal settlement on the Cape Verdean island of Fogo, known for its proximity to volcanic landscapes and traditional fishing activities.
  • C. Salinas
    Salinas is a coastal municipality in southern Puerto Rico known for its fishing industry, scenic Caribbean shoreline, and role as a regional transportation hub.
  • D. San Francisco del Norte
    San Francisco del Norte is a small municipality in northwestern Nicaragua known for its rural character and agricultural economy.
  • E. Merced
    Merced was the original codename for Intel and Hewlett-Packard’s first-generation Itanium 64-bit server processor.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb5699bc48190961e036d1131fef0 completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20df77f208190b550b888bf7b55ea completed April 5, 2026, 7:23 a.m.
Created at: March 30, 2026, 8:42 p.m.