Triple

T21512327
Position Surface form Disambiguated ID Type / Status
Subject Niger Bend E530757 entity
Predicate hasCity P316 FINISHED
Object Diré NE NERFINISHED

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: Diré | Statement: [Niger Bend, hasCity, Diré]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diré
Context triple: [Niger Bend, hasCity, Diré]
  • A. Diré chosen
    Diré is a town in northern Mali situated along the Niger River, known as a local commercial and cultural center where the Koyra Chiini language is widely spoken.
  • B. Ciudad Darío
    Ciudad Darío is a Nicaraguan town best known as the birthplace of the influential modernist poet Rubén Darío.
  • C. Merida
    Merida is a headstrong Scottish princess and skilled archer from Disney-Pixar's animated film "Brave," known for defying tradition to control her own destiny.
  • D. Merida
    Merida is a coastal municipality in the province of Leyte in the Philippines, known for its agricultural economy and scenic seaside and rural landscapes.
  • E. Florencia
    Florencia is a city in southern Colombia that serves as a key gateway between the Andean region and the Amazon rainforest.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea8779c081908171c58d345d54ae completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:25 p.m.