Triple

T12442565
Position Surface form Disambiguated ID Type / Status
Subject Buendia station E297312 entity
Predicate serves P98 FINISHED
Object Buendia Avenue E903334 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: Buendia Avenue | Statement: [Buendia station, serves, Buendia Avenue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buendia Avenue
Context triple: [Buendia station, serves, Buendia Avenue]
  • A. Buendia Avenue chosen
    Buendia Avenue is a major thoroughfare in Makati, Metro Manila, serving as a key east–west route that links the city’s central business district with several important highways and neighboring areas.
  • B. Andes Street
    Andes Street is a central thoroughfare in Montevideo, Uruguay, known for running through the downtown area near key landmarks such as Plaza Independencia.
  • C. Plateros Street
    Plateros Street was the historic name of a prominent central thoroughfare in Mexico City, later renamed Madero Street.
  • D. Santo Domingo Street
    Santo Domingo Street is a notable thoroughfare in central Santiago, Chile, known for its proximity to key landmarks and public transit connections.
  • E. Gorlero Avenue
    Gorlero Avenue is the main commercial and social thoroughfare of Punta del Este, Uruguay, known for its shops, restaurants, and vibrant tourist activity.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8ecb6c8190a19cbf9de31cabbd completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e256fe408190bd40b62eb51b6ef9 completed May 3, 2026, 5:51 a.m.
Created at: April 8, 2026, 9:55 p.m.