Triple

T17777967
Position Surface form Disambiguated ID Type / Status
Subject Xola E443821 entity
Predicate namedAfter P63 FINISHED
Object Avenida Xola 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: Avenida Xola | Statement: [Xola, namedAfter, Avenida Xola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avenida Xola
Context triple: [Xola, namedAfter, Avenida Xola]
  • A. Avenida Xola chosen
    Avenida Xola is a major thoroughfare in Mexico City that runs through several central neighborhoods and serves as an important axis for traffic, commerce, and public transportation.
  • B. Avenida Tobalaba
    Avenida Tobalaba is a major thoroughfare in Santiago, Chile, running through several communes and serving as an important urban transit and commercial corridor.
  • C. Avenida Palmas
    Avenida Palmas is a prominent thoroughfare in Mexico City’s upscale Lomas de Chapultepec neighborhood, known for its corporate offices, luxury residences, and commercial activity.
  • D. Avenida Sexta
    Avenida Sexta is a major thoroughfare in San José, Costa Rica, known for its central location, commercial activity, and proximity to key civic landmarks.
  • E. Avenida El Sol
    Avenida El Sol is one of Cusco’s principal thoroughfares, known for its concentration of shops, hotels, and access to major historical and tourist sites in the city.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871e06a481909cf6d59e49dc21c5 completed April 19, 2026, 7:41 a.m.
Created at: April 10, 2026, 10:12 a.m.