Triple

T20207281
Position Surface form Disambiguated ID Type / Status
Subject Abéché E493385 entity
Predicate roadConnection P385 FINISHED
Object Adré 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: Adré | Statement: [Abéché, roadConnection, Adré]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adré
Context triple: [Abéché, roadConnection, Adré]
  • A. Adré chosen
    Adré is a town in eastern Chad near the Sudanese border that serves as an important local commercial and administrative center in the Ouaddaï region.
  • B. Eyraud
    Eyraud is a French surname most notably borne by Eugène Eyraud, a 19th-century missionary known for his work on Easter Island.
  • C. Leandre
    Leandre is a French given name, cognate with Leander, traditionally associated with romantic and classical literary figures.
  • D. Ondaine
    The Ondaine is a river in central France that flows through the Loire department, notably passing by the town of Firminy.
  • E. Moorenweis
    Moorenweis is a rural municipality in Upper Bavaria, Germany, known for its agricultural landscape and small-village character.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d934f808190bbfeb96f5bf2dfb9 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:38 p.m.