Triple
T20683622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samori Touré |
E508356
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Ndjolé |
—
|
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: Ndjolé | Statement: [Samori Touré, placeOfDeath, Ndjolé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ndjolé Context triple: [Samori Touré, placeOfDeath, Ndjolé]
-
A.
Ndjolé
chosen
Ndjolé is a town in central Gabon that serves as an important river port and transport hub along the Ogooué River.
-
B.
Duékoué
Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
-
C.
Xala
Xala is a 1974 satirical film (and earlier novel) by Ousmane Sembène that critiques post-independence African elites through the story of a corrupt businessman afflicted with impotence.
-
D.
Ambouli
Ambouli is a district of Djibouti City that hosts the country’s main international airport and related urban infrastructure.
-
E.
Bongouanou
Bongouanou is a Central Tano language spoken in parts of West Africa, likely associated with communities in and around the town of Bongouanou in Côte d'Ivoire.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6beaae5608190ac8cc64aa4717d53 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:45 a.m.