Triple
T1414947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indonesia Raya |
E31892
|
entity |
| Predicate | recordedInEarlyFormat |
P20941
|
FINISHED |
| Object | gramophone records |
—
|
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: gramophone records | Statement: [Indonesia Raya, recordedInEarlyFormat, gramophone records]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordedInEarlyFormat Context triple: [Indonesia Raya, recordedInEarlyFormat, gramophone records]
-
A.
recordedWith
chosen
Indicates that something was captured, documented, or produced using a particular tool, device, medium, or method.
-
B.
recordedFor
Indicates that something has been documented, captured, or logged on behalf of or in association with a particular entity or context.
-
C.
recorded
Indicates that one entity captured, stored, or documented information, audio, video, or data about another entity or event.
-
D.
formerPictureFormat
Indicates that an entity previously used a particular picture format before changing to a different one.
-
E.
hadMultipleFormatsOverTime
Indicates that the same underlying item or entity has existed in more than one format or version at different points in time.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e5f9d08190861206934cd71fd8 |
completed | March 1, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69a4bf060b0081909ba00e6ac093a28b |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.