Triple

T22524214
Position Surface form Disambiguated ID Type / Status
Subject Agence de coopération culturelle et technique E556857 entity
Predicate hasMember P10 FINISHED
Object Chad 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: Chad | Statement: [Agence de coopération culturelle et technique, hasMember, Chad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chad
Context triple: [Agence de coopération culturelle et technique, hasMember, Chad]
  • A. Chad chosen
    Chad is a landlocked country in north-central Africa known for its ethnic and linguistic diversity, vast desert regions, and significant oil reserves.
  • B. Chad
    Chad is a common masculine given name used primarily in English-speaking countries.
  • C. Air Tchad
    Air Tchad was the former national airline of Chad, operating regional and domestic flights primarily within Central Africa.
  • D. Nazaire
    Nazaire is a masculine given name of French origin, historically borne by figures such as the revolutionary-era writer and politician Fabre d’Églantine.
  • E. Central African Republic
    The Central African Republic is a landlocked, resource-rich but politically unstable country in Central Africa that has experienced recurrent conflict and humanitarian crises.
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e34590c81909e4ed1c95f13a199 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:51 p.m.