Triple

T2795742
Position Surface form Disambiguated ID Type / Status
Subject Roosevelt County E53031 entity
Predicate hasCity P316 FINISHED
Object Portales E50842 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: Portales | Statement: [Roosevelt County, hasCity, Portales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portales
Context triple: [Roosevelt County, hasCity, Portales]
  • A. Portales chosen
    Portales is a small city in eastern New Mexico known as the home of Eastern New Mexico University and for its surrounding agricultural community.
  • B. Portales
    Portales is a traditional residential neighborhood in Mexico City’s Benito Juárez borough, known for its local markets, parks, and urban character.
  • C. El Portal
    El Portal is a small unincorporated community in Mariposa County, California, serving as a gateway to Yosemite National Park along the Merced River.
  • D. Portalis
    Portalis is a French surname most notably associated with Jean-Étienne-Marie Portalis, a principal drafter of the Napoleonic Civil Code.
  • E. Playas
    Playas is a coastal town and popular beach destination in southwestern Ecuador.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abddef754081908e6218dc2208e0fd completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8a5c364819092b01e90ee40e155 completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 9:58 p.m.