Triple

T9823527
Position Surface form Disambiguated ID Type / Status
Subject Aibonito E238594 entity
Predicate nearbyMunicipality P4647 FINISHED
Object Salinas E816229 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: [Aibonito, nearbyMunicipality, Salinas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salinas
Context triple: [Aibonito, nearbyMunicipality, Salinas]
  • A. 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.
  • B. Salinas
    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.
  • C. Salinas chosen
    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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb316f8948190ada3738787a5cb6a completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5b9110881909405d94e0db40eac completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:31 p.m.