Triple

T16532540
Position Surface form Disambiguated ID Type / Status
Subject Cuello E401601 entity
Predicate near P350 FINISHED
Object Orange Walk Town E85945 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: Orange Walk Town | Statement: [Cuello, near, Orange Walk Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange Walk Town
Context triple: [Cuello, near, Orange Walk Town]
  • A. Orange Walk Town chosen
    Orange Walk Town is a northern Belizean town that serves as the capital of the Orange Walk District and a regional commercial and cultural center.
  • B. Frogtown
    Frogtown is a historic, culturally diverse neighborhood in Saint Paul, Minnesota, known for its strong immigrant communities and vibrant local businesses.
  • C. Jingletown
    Jingletown is a small, historically industrial and now increasingly arts-oriented neighborhood in Oakland, California, known for its murals and proximity to the Fruitvale district along the Oakland Estuary.
  • D. Openshaw
    Openshaw is an inner-city district of Manchester, England, known for its industrial heritage and residential neighborhoods.
  • E. Southside
    Southside is a residential locality situated just across the Mary River from the regional city of Gympie in Queensland, Australia.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed97b0881909de106418aca8180 completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00758d82748190acfb8bbc3047d5a5 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:15 a.m.