Triple
T1439053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air "Let us take the road" |
E31026
|
entity |
| Predicate | originalInstrumentation |
P29323
|
FINISHED |
| Object | voice |
—
|
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: voice | Statement: [Air "Let us take the road", originalInstrumentation, voice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalInstrumentation Context triple: [Air "Let us take the road", originalInstrumentation, voice]
-
A.
typicalInstrumentation
Indicates the usual or standard set of instruments commonly associated with performing or realizing something (such as a work, genre, or piece).
-
B.
coreInstrument
Indicates that an instrument plays a central or primary role in performing an action or achieving an outcome.
-
C.
usesInstrument
Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
-
D.
coInstrumentWith
Indicates that two or more entities are used together as instruments or means to perform the same action or achieve the same outcome.
-
E.
adoptedInstrument
Indicates that an entity has formally chosen and begun using a particular instrument, typically as its primary or official tool for performance or practice.
- F. None of above. chosen
Provenance (4 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c478f65481909ee716791c663491 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c5fd2c5c81909283b7a74aff89b7 |
completed | March 1, 2026, 11:04 p.m. |
Created at: March 1, 2026, 8 p.m.