Triple
T17093308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kissi |
E414777
|
entity |
| Predicate | neighboringLanguages |
P16383
|
FINISHED |
| Object | Mende |
E140677
|
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: Mende | Statement: [Kissi, neighboringLanguages, Mende]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mende Context triple: [Kissi, neighboringLanguages, Mende]
-
A.
Mende
Mende is a small historic town in southern France that serves as the prefecture of the Lozère department in the Occitanie region.
-
B.
Mende
chosen
The Mende are one of the largest ethnic groups in Sierra Leone, known for their rich traditions, secret societies, and significant influence on the country’s culture and politics.
-
C.
Mende
Mende was an ancient Greek city-state located on the Pallene peninsula of Chalcidice, known in antiquity for its wine and maritime trade.
-
D.
Ruthena
Ruthena is a historical name for the French city of Rodez, reflecting its origins as an ancient settlement in the Rouergue region.
-
E.
Zemst
Zemst is a municipality in the Belgian province of Flemish Brabant, located in the Flanders region.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfb89348190942984037bd3bd2e |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eec0d5c8190806e756aae848ba2 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.