Triple

T12738876
Position Surface form Disambiguated ID Type / Status
Subject La Rampa (23rd Street) E304436 entity
Predicate alsoKnownAs P39 FINISHED
Object Calle 23 E229459 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: Calle 23 | Statement: [La Rampa (23rd Street), alsoKnownAs, Calle 23]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calle 23
Context triple: [La Rampa (23rd Street), alsoKnownAs, Calle 23]
  • A. Calle 2 Sur
    Calle 2 Sur is a central street in the historic downtown of Puebla, Mexico, running near the city’s main square and colonial landmarks.
  • B. Calle 62
    Calle 62 is a notable street running through the historic center of Mérida, Yucatán, known for its colonial architecture and proximity to major plazas and landmarks.
  • C. Calle 23 (La Rampa) chosen
    Calle 23, commonly known as La Rampa, is a central and bustling Havana thoroughfare famed for its mid-20th-century architecture, cultural landmarks, and vibrant street life.
  • D. Calle 60
    Calle 60 is one of the main thoroughfares in Mérida, Yucatán, known for its colonial architecture, cultural landmarks, and central role in the city's historic district.
  • E. Calle 80
    Calle 80 is a major arterial road in the Bogotá metropolitan area that connects the city with surrounding municipalities such as Cota.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646cfcac81909283dca987755c0e completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8ff57c8190a935b5c9f4bb5aa3 completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:26 p.m.