Triple
T8278171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jola language |
E193598
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Jola-Kujireray |
E193598
|
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: Jola-Kujireray | Statement: [Jola language, hasDialect, Jola-Kujireray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jola-Kujireray Context triple: [Jola language, hasDialect, Jola-Kujireray]
-
A.
Jola
chosen
Jola is a Niger–Congo language spoken primarily by the Jola people of southern Senegal and neighboring regions.
-
B.
Jolu
Jolu is a character in Cory Doctorow's novel "Little Brother," known as one of Marcus Yallow's close friends and fellow teenage hackers resisting government surveillance.
-
C.
Djugu
Djugu is a town and administrative center in northeastern Democratic Republic of the Congo, located within the conflict-affected Ituri region.
-
D.
Jala
Jala is a municipality and town in the Mexican state of Nayarit, known for its agricultural traditions and proximity to the Ceboruco volcano.
-
E.
Kunama
Kunama is a Nilo-Saharan language spoken primarily by the Kunama people in western Eritrea and adjacent parts of Ethiopia.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb79ebb6b88190bc777b8bd72fcdbc |
completed | March 31, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6863c22c8190b888a23bb9005712 |
completed | April 1, 2026, 6:48 p.m. |
Created at: March 30, 2026, 5:51 p.m.