Triple
T9259302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centre Region |
E222531
|
entity |
| Predicate | hasMajorLanguage |
P207
|
FINISHED |
| Object | Mooré |
E222528
|
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: Mooré | Statement: [Centre Region, hasMajorLanguage, Mooré]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mooré Context triple: [Centre Region, hasMajorLanguage, Mooré]
-
A.
Mooré
chosen
Mooré is a major Gur language spoken primarily by the Mossi people of Burkina Faso and neighboring West African countries.
-
B.
Moor Zogoiby
Moor Zogoiby is a central character in Salman Rushdie’s novel "The Moor’s Last Sigh," a deformed, fast-talking Bombay-born narrator whose life and family saga reflect the tumultuous history and cultural hybridity of modern India.
-
C.
Yali
Yali are an indigenous Papuan people of the highlands of Indonesian New Guinea, known for their traditional stone-age farming practices, distinctive dress, and remote mountain settlements.
-
D.
Mundemba
Mundemba is a town in southwestern Cameroon known as a gateway to the biodiverse Korup National Park.
-
E.
Musanze
Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
- 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_69ca841e4cd481908e738c74e958eaea |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0714317481908405f857a4f49e74 |
completed | April 1, 2026, 11:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09bf225608190ade085302946dd8f |
completed | April 4, 2026, 5:04 a.m. |
Created at: March 30, 2026, 7:32 p.m.