Triple
T29722194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M.52 |
E752085
|
entity |
| Predicate | hasRelatedIdentifier |
P33159
|
FINISHED |
| Object | Ravel M.52 |
—
|
NE NERFINISHED |
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: Ravel M.52 | Statement: [M.52, hasRelatedIdentifier, Ravel M.52]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelatedIdentifier Context triple: [M.52, hasRelatedIdentifier, Ravel M.52]
-
A.
relatedIdentifier
chosen
Indicates that one identifier is associated with another identifier that refers to the same or a related entity in a different context or system.
-
B.
hasDigitalObjectIdentifier
Indicates that an entity is associated with a specific Digital Object Identifier (DOI) that uniquely identifies it in a digital environment.
-
C.
hasRelatedPublication
Indicates that an entity is associated with one or more publications that are relevant or connected to it in content, context, or subject matter.
-
D.
hasAccessionIdentifier
Indicates that an entity is associated with a specific accession identifier used for cataloging or reference purposes.
-
E.
hasRelatedTaxon
Indicates a taxonomic relationship between two taxa that are connected in some biologically or taxonomically relevant way, without specifying the exact nature of that relationship.
- 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a001adc8c108190ab3a43f6415e2be3 |
completed | May 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_6a001a290330819097c2c3123f9014b4 |
completed | May 10, 2026, 5:39 a.m. |
Created at: April 28, 2026, 7:37 p.m.