Triple

T9225825
Position Surface form Disambiguated ID Type / Status
Subject Avenida Juárez E221679 entity
Predicate hasPublicTransport P1288 FINISHED
Object Metro Hidalgo E243812 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: Metro Hidalgo | Statement: [Avenida Juárez, hasPublicTransport, Metro Hidalgo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro Hidalgo
Context triple: [Avenida Juárez, hasPublicTransport, Metro Hidalgo]
  • A. Metro Chilpancingo
    Metro Chilpancingo is a Mexico City Metro station on Line 9 located in the central area of the city, serving the Condesa and surrounding neighborhoods.
  • B. Metro Cuauhtémoc
    Metro Cuauhtémoc is a Mexico City Metro station that serves as a key access point to the Arena México area.
  • C. Metro Balderas
    Metro Balderas is a major Mexico City Metro station located near the historic center, serving as an important transfer point between multiple lines.
  • D. Metro Hidalgo station chosen
    Metro Hidalgo station is a major Mexico City Metro interchange in the historic city center, connecting multiple lines and providing access to key downtown landmarks.
  • E. Metro Zapata
    Metro Zapata is a Mexico City Metro station that serves as an important transfer point between Line 3 and Line 12 in the Benito Juárez borough.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda9dbd1481909f35a4bee8e0b450 completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d066521f288190a54b1199284db7a4 completed April 4, 2026, 1:16 a.m.
Created at: March 30, 2026, 7:28 p.m.