Triple

T5064863
Position Surface form Disambiguated ID Type / Status
Subject Conejos County, Colorado E114117 entity
Predicate hasCommunity P2605 FINISHED
Object Conejos E489784 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: Conejos | Statement: [Conejos County, Colorado, hasCommunity, Conejos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conejos
Context triple: [Conejos County, Colorado, hasCommunity, Conejos]
  • A. Conejos chosen
    Conejos is a small unincorporated community in southern Colorado that serves as the historic county seat of Conejos County.
  • B. Carvallo
    Carvallo is a surname, likely a variant of Carvajal, found in Spanish- and Portuguese-speaking regions.
  • C. Acamas
    Acamas is a figure in Greek mythology, traditionally known as a son of the Athenian hero Theseus who took part in events surrounding the Trojan War.
  • D. Comondú
    Comondú is a municipality in the Mexican state of Baja California Sur, known for its agricultural valleys, coastal areas, and historic mission towns.
  • E. Alpedrete
    Alpedrete is a municipality in the Community of Madrid, Spain, known for its traditional stone quarries and residential character near the Sierra de Guadarrama.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7478f7988190bc0473e8af055147 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb10778208190a5c6a9457c085491 completed March 21, 2026, 2:53 p.m.
Created at: March 20, 2026, 1:38 p.m.