Triple
T3354960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandinka people |
E70582
|
entity |
| Predicate | culturalInstrument |
P8530
|
FINISHED |
| Object | kora |
—
|
LITERAL 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: kora | Statement: [Mandinka people, culturalInstrument, kora]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalInstrument Context triple: [Mandinka people, culturalInstrument, kora]
-
A.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
B.
traditionalInstrument
chosen
Indicates that an entity is a musical instrument associated with the traditional or customary music of a particular culture, region, or community.
-
C.
playedInstrument
Indicates that an entity performed or used a particular musical instrument.
-
D.
notableInstrument
Indicates that an entity is especially known for playing or being associated with a particular musical instrument.
-
E.
typeOfInstrument
Indicates the specific kind or category of instrument associated with an 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2419a808190a54fc03eeec6e42d |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42fbe7c8190b9f185b5ab985f17 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.