Triple

T4856903
Position Surface form Disambiguated ID Type / Status
Subject Magdalena Department E108558 entity
Predicate borders P224 FINISHED
Object Cesar Department E201884 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: Cesar Department | Statement: [Magdalena Department, borders, Cesar Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cesar Department
Context triple: [Magdalena Department, borders, Cesar Department]
  • A. Cesar Department chosen
    Cesar Department is an administrative region in northern Colombia known for its capital Valledupar and its strong cultural association with vallenato music.
  • B. Chinandega Department
    Chinandega Department is a northwestern region of Nicaragua known for its agricultural production, Pacific coastline, and proximity to major lakes and volcanoes.
  • C. Chontales Department
    Chontales Department is an administrative region in central Nicaragua known for its cattle ranching, agricultural production, and proximity to Lake Nicaragua.
  • D. Huila Department
    Huila Department is an administrative region in southwestern Colombia known for its coffee production, the Magdalena River’s upper valley, and the Tatacoa Desert.
  • E. Rosario Department
    Rosario Department is an administrative division in the Santa Fe Province of Argentina, centered around the major city of Rosario and known for its economic and cultural significance.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d3f24688190b2f2b79bcde96973 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67dd3df4819092a59dfb85d10683 completed March 21, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:26 p.m.