Triple
T23310404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hymn of Praise |
E590566
|
entity |
| Predicate | hasFirstPartForm |
P151820
|
FINISHED |
| Object | symphonic |
—
|
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: symphonic | Statement: [Hymn of Praise, hasFirstPartForm, symphonic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstPartForm Context triple: [Hymn of Praise, hasFirstPartForm, symphonic]
-
A.
hasForm
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
B.
hasPart1Code
Indicates that an entity includes or is associated with a specific part identified by a particular code.
-
C.
hasTwoPartStructure
Indicates that something is composed of exactly two distinct, structured parts that together form a whole.
-
D.
hasComponentForm
Indicates that one entity exists as a structural or compositional form or variant of another entity.
-
E.
hasFirstTerm
Indicates that an entity is associated with a specific first term in an ordered sequence, period, or series.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972acad08190bb56541b822555cd |
completed | April 29, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:05 p.m.