Triple

T9139799
Position Surface form Disambiguated ID Type / Status
Subject Estación Etiopía E219293 entity
Predicate locatedOnAvenue P2409 FINISHED
Object Eje 4 Sur Xola E209832 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: Eje 4 Sur Xola | Statement: [Estación Etiopía, locatedOnAvenue, Eje 4 Sur Xola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eje 4 Sur Xola
Context triple: [Estación Etiopía, locatedOnAvenue, Eje 4 Sur Xola]
  • A. Eje 4 Xola chosen
    Eje 4 Xola is a major east–west arterial road in Mexico City that runs through several neighborhoods, including Colonia del Valle.
  • B. Xesibe
    Xesibe are a subgroup or clan of the Xhosa people in South Africa, sharing the broader Xhosa language and cultural heritage while maintaining their own distinct lineage and traditions.
  • C. Xola
    Xola is a Mexico City Metro station on Line 2 that serves the southern part of the city near the Calzada de Tlalpan corridor.
  • D. Sincelejo
    Sincelejo is a city in northern Colombia that serves as the political and economic center of the Sucre Department.
  • E. Xanéu
    Xanéu is an alternative name for the Terena language, an Arawakan language spoken by the Terena people of Brazil.
  • 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_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8f129c08190b6f053984cb7363f completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0480ee2f081908ed98844784e465c completed April 3, 2026, 11:06 p.m.
Created at: March 30, 2026, 7:19 p.m.