Triple

T8018071
Position Surface form Disambiguated ID Type / Status
Subject Pessac E186669 entity
Predicate hasTwinTown P919 FINISHED
Object Cali E48415 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: Cali | Statement: [Pessac, hasTwinTown, Cali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cali
Context triple: [Pessac, hasTwinTown, Cali]
  • A. Cali chosen
    Cali is a major city in southwestern Colombia known as an important economic center and the country’s capital of salsa.
  • B. Bogotá
    Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
  • C. Aburrá Metropolitan Area
    The Aburrá Metropolitan Area is a major urban and industrial agglomeration in Antioquia, Colombia, centered on the city of Medellín and encompassing several surrounding municipalities in the Aburrá Valley.
  • D. Medellín
    Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
  • E. Santa Marta
    Santa Marta is a historic Caribbean port city in northern Colombia and one of the oldest surviving Spanish settlements in South America.
  • 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df626e8819098a9f8908dfdad3b completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce38d1e5508190abf808fa06f89627 completed April 2, 2026, 9:37 a.m.
Created at: March 30, 2026, 5:20 p.m.