Triple

T2485605
Position Surface form Disambiguated ID Type / Status
Subject Metrobus Line 4 E55918 entity
Predicate hasStation P35 FINISHED
Object Buenavista E45363 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: Buenavista | Statement: [Metrobus Line 4, hasStation, Buenavista]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buenavista
Context triple: [Metrobus Line 4, hasStation, Buenavista]
  • A. Buenavista chosen
    Buenavista is a major transit hub and neighborhood in Mexico City that serves as a key interchange point for metro, bus rapid transit, and commuter rail services.
  • B. Puerto La Victoria
    Puerto La Victoria is a riverside town in Paraguay situated along the Paraguay River, serving as a local hub for transport and river-based commerce.
  • C. Colonia Buenavista
    Colonia Buenavista is a central neighborhood in Mexico City’s Cuauhtémoc borough, known for its major transit hubs, commercial activity, and proximity to key cultural and governmental institutions.
  • D. Guaymas
    Guaymas is a coastal city and major seaport on the Gulf of California in the Mexican state of Sonora.
  • E. San Pedro
    San Pedro is a Chilean commune and town located within the Santiago Metropolitan Region, known for its rural character and agricultural activities.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd17705488190b90b1aa66dd25972 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f8ee974819082a2a29f8b72d131 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:45 p.m.