Triple

T10795078
Position Surface form Disambiguated ID Type / Status
Subject Avenida Chapultepec E254682 entity
Predicate hasNearbyNeighborhood P350 FINISHED
Object Doctores E474728 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: Doctores | Statement: [Avenida Chapultepec, hasNearbyNeighborhood, Doctores]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doctores
Context triple: [Avenida Chapultepec, hasNearbyNeighborhood, Doctores]
  • A. Doctores chosen
    Doctores is a Mexico City Metro station on Line 8 serving the Doctores neighborhood near the city center.
  • B. La Dotta
    La Dotta is a nickname for the Italian city of Bologna, highlighting its historic role as a major center of learning and home to one of the world’s oldest universities.
  • C. Doctor Doctor
    Doctor Doctor is an Australian television drama series centered on a charismatic but troubled heart surgeon who is forced to return to practice in his rural hometown.
  • D. The Young Doctors
    The Young Doctors is an Australian television soap opera set in a fictional hospital, focusing on the professional and personal lives of its medical staff.
  • E. Docter
    Docter is the surname of Pete Docter, the acclaimed American animator, director, and key creative figure at Pixar Animation Studios.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733321dd881909dcd4224dfa9822a completed April 9, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5654e2c48190a8f078b8164707e2 completed April 14, 2026, 2:59 p.m.
Created at: April 8, 2026, 9:17 p.m.