Triple

T10490335
Position Surface form Disambiguated ID Type / Status
Subject Daju languages E247399 entity
Predicate spokenIn P2266 FINISHED
Object Chad E20731 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: Chad | Statement: [Daju languages, spokenIn, Chad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chad
Context triple: [Daju languages, spokenIn, 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. 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.
  • D. northern Chad
    Northern Chad is a sparsely populated Saharan region characterized by desert landscapes, nomadic communities, and significant ethnic diversity including groups such as the Gorane.
  • E. Sudan
    Sudan is a large Northeast African country along the Nile River, known for its diverse cultures, ancient Nubian history, and a modern history marked by civil conflict and the secession of South Sudan.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097d61e08190952d4354ef1bce52 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc8c73748190b97c78af6cf142d9 completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:23 p.m.