Triple
T301620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuareg |
E6207
|
entity |
| Predicate | musicalInstrument |
P8530
|
FINISHED |
| Object | imzad |
—
|
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: imzad | Statement: [Tuareg, musicalInstrument, imzad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalInstrument Context triple: [Tuareg, musicalInstrument, imzad]
-
A.
notableInstrument
Indicates that an entity is especially known for playing or being associated with a particular musical instrument.
-
B.
instrument
Indicates that an action is carried out using a particular tool, means, or implement as its instrument.
-
C.
traditionalInstrument
chosen
Indicates that an entity is a musical instrument associated with the traditional or customary music of a particular culture, region, or community.
-
D.
reliesOnInstrument
Indicates that an action or process depends on or is carried out using a particular instrument or tool.
-
E.
usesInstrument
Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea2fba548190a5aeb1597dca96bd |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e93c367881908d3f6e2b81d44d7f |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.