Triple

T21430636
Position Surface form Disambiguated ID Type / Status
Subject Humacao E528674 entity
Predicate hasBarrio P4813 FINISHED
Object Mambiche NE NERFINISHED

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: Mambiche | Statement: [Humacao, hasBarrio, Mambiche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mambiche
Context triple: [Humacao, hasBarrio, Mambiche]
  • A. Mambiche chosen
    Mambiche is a barrio (district) of the municipality of Humacao in eastern Puerto Rico, characterized by its residential communities and local rural landscapes.
  • B. Kabambare
    Kabambare is a town and administrative center located in Maniema Province in the eastern part of the Democratic Republic of the Congo.
  • C. Tchagra
    Tchagra is a genus of African bushshrikes, medium-sized passerine birds known for their strong hooked bills and distinctive head patterns.
  • D. Chambo
    Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
  • E. Chambeali
    Chambeali is an Indo-Aryan language spoken primarily in the Chamba region of Himachal Pradesh in northern India.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813fe2108190a4193f69667fe79e completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:49 p.m.