Triple

T15933173
Position Surface form Disambiguated ID Type / Status
Subject Lubao E386371 entity
Predicate borderedBy P224 FINISHED
Object Hermosa E1021229 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: Hermosa | Statement: [Lubao, borderedBy, Hermosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hermosa
Context triple: [Lubao, borderedBy, Hermosa]
  • A. Hermosa
    Hermosa is a primarily residential neighborhood on Chicago’s Northwest Side known for its diverse community and as the childhood home of Walt Disney.
  • B. Hermosa chosen
    Hermosa is a municipality in the province of Bataan in the Philippines, known for its agricultural lands and growing industrial and residential developments.
  • C. Los Laureles
    "Los Laureles" is a traditional Mexican ranchera song widely known through its popular recording by Linda Ronstadt on her album "Canciones de Mi Padre."
  • D. Ventanarosa
    Ventanarosa is a film and television production company founded by Salma Hayek, known for producing culturally rich, often Latinx-focused projects.
  • E. Gloriette
    The Gloriette is an ornate hilltop pavilion and colonnaded structure in the gardens of Schönbrunn in Vienna, offering panoramic views and serving as a prominent symbol of Habsburg imperial grandeur.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156a7bdd88190b1d7349ef920fd06 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b514108190965e77346d8b476e completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.