Triple

T7186273
Position Surface form Disambiguated ID Type / Status
Subject Cota E167578 entity
Predicate borderedBy P224 FINISHED
Object Suba E503880 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: Suba | Statement: [Cota, borderedBy, Suba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suba
Context triple: [Cota, borderedBy, Suba]
  • A. Suba chosen
    Suba is a large residential and commercial locality in the northwestern part of Bogotá, Colombia, known for its diverse neighborhoods and rapid urban development.
  • B. Assi River
    The Assi River is a small river in Varanasi, India, that meets the Ganges near Assi Ghat and gives the famous ghat its name.
  • C. Surma River
    The Surma River is a major transboundary river flowing through northeastern India and Bangladesh, known for its role in the Meghna river system and the Sylhet region’s ecology and economy.
  • D. Sangone
    Sangone is a river in northwestern Italy that flows through the Piedmont region before joining the Dora Riparia.
  • E. Warihío
    Warihío is an Indigenous Uto-Aztecan-speaking people of northwestern Mexico, primarily living in the Sierra Madre Occidental region of Chihuahua and Sonora.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8e0f2f48190a4ddf8637f556934 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b950f90c81908391a96071594ea6 completed March 28, 2026, 11:19 a.m.
Created at: March 27, 2026, 2:49 p.m.