Triple
T12653928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kono |
E302233
|
entity |
| Predicate | neighboringLanguages |
P16383
|
FINISHED |
| Object | Krio |
E91486
|
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: Krio | Statement: [Kono, neighboringLanguages, Krio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krio Context triple: [Kono, neighboringLanguages, Krio]
-
A.
Krio language
chosen
Krio is an English-based creole language spoken primarily in Sierra Leone, where it serves as a major lingua franca among diverse ethnic groups.
-
B.
Kennyo
Kennyo was a 16th-century Japanese Jōdo Shinshū Buddhist monk and militant leader who headed the Ishiyama Hongan-ji fortress and resisted Oda Nobunaga’s unification efforts.
-
C.
Kpelle
Kpelle is a major Mande language spoken primarily in Liberia and Guinea by the Kpelle people.
-
D.
Dili
Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural center.
-
E.
Kankana-ey
Kankana-ey is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96160730c81909e1aa3efb51bf159 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688104d48190939933b93b7e60cc |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:18 p.m.