Triple
T30719509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biton Coulibaly |
E782111
|
entity |
| Predicate | empireFounded |
P16494
|
FINISHED |
| Object | Bambara Empire |
—
|
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: Bambara Empire | Statement: [Biton Coulibaly, empireFounded, Bambara Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: empireFounded Context triple: [Biton Coulibaly, empireFounded, Bambara Empire]
-
A.
foundedEmpire
chosen
Indicates that a person or group established and brought into existence an empire as a political entity.
-
B.
foundedInEmpire
Indicates that an entity (such as an organization, city, or institution) was established during the existence or rule of a specified empire.
-
C.
dynastyFoundedIn
Indicates that a particular dynasty was established or came into existence in a specified time or place.
-
D.
dynastyFoundedBecame
Indicates that an entity founded a dynasty and subsequently became its ruler or central figure.
-
E.
realmFoundedBy
Indicates that a particular realm or domain was established or created by a specific founding entity.
- F. None of above.
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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68c583438819093b812f11327eb60 |
completed | May 2, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:36 p.m.