Triple
T359893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edison cylinder phonograph |
E7825
|
entity |
| Predicate | recordingFormat |
P130
|
FINISHED |
| Object | vertical cut groove |
—
|
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: vertical cut groove | Statement: [Edison cylinder phonograph, recordingFormat, vertical cut groove]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordingFormat Context triple: [Edison cylinder phonograph, recordingFormat, vertical cut groove]
-
A.
format
chosen
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
B.
radioFormat
Indicates the specific type or style of radio programming or broadcast format associated with an entity.
-
C.
recorded
Indicates that one entity captured, stored, or documented information, audio, video, or data about another entity or event.
-
D.
soundRecordingSpeed
Indicates the recording speed at which an audio recording was captured or is intended to be played back.
-
E.
placeOfRecording
Indicates the location where an audio, video, or other recording was made.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebccb8d88190a31f7c443a0c8566 |
completed | Feb. 28, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69a2e95aeed48190b5e48865cc964938 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.