Triple
T10490303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teso |
E247398
|
entity |
| Predicate | neighboringLanguage |
P16383
|
FINISHED |
| Object | Samia |
E810863
|
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: Samia | Statement: [Teso, neighboringLanguage, Samia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samia Context triple: [Teso, neighboringLanguage, Samia]
-
A.
Samia
Samia is an ancient Greek comedy by the playwright Menander, often translated as "The Girl from Samos" and known for its intricate plot and character-driven humor.
-
B.
Samia
chosen
Samia is a Bantu language spoken by the Samia people in parts of eastern Uganda and western Kenya.
-
C.
Aziza
Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
-
D.
Ruhaya
Ruhaya is a Bantu language spoken primarily by the Haya people of northwestern Tanzania.
-
E.
Sawalha
Sawalha is a family name most notably associated with British actresses Julia and Nadia Sawalha.
- 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_69d8dc9792308190b09d6aaed63dd418 |
completed | April 10, 2026, 11:18 a.m. |
Created at: April 6, 2026, 12:23 p.m.