Triple

T9083584
Position Surface form Disambiguated ID Type / Status
Subject Cogua E217693 entity
Predicate borderedBy P224 FINISHED
Object Tabio E33389 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: Tabio | Statement: [Cogua, borderedBy, Tabio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tabio
Context triple: [Cogua, borderedBy, Tabio]
  • A. Tabio chosen
    Tabio is a small Colombian town in the department of Cundinamarca, known for its cool climate, agricultural traditions, and proximity to Bogotá.
  • B. Raury
    Raury is an American singer-songwriter and rapper known for blending folk, hip-hop, and soul influences into socially conscious, genre-defying music.
  • C. Tavros
    Tavros is a suburban municipality in the Athens urban area of Greece, known for its mixed residential and industrial character.
  • D. Tino
    Tino is the commonly used nickname of former Major League Baseball first baseman Tino Martinez, best known for his years with the New York Yankees in the late 1990s and early 2000s.
  • E. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc960b45fc8190adf4bdc41b103e86 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe30093481908b3ec394cf585642 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:13 p.m.