Triple
T29842710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rigaudon |
E757844
|
entity |
| Predicate | hasPhrasing |
P174718
|
FINISHED |
| Object | symmetrical phrasing |
—
|
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: symmetrical phrasing | Statement: [Rigaudon, hasPhrasing, symmetrical phrasing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhrasing Context triple: [Rigaudon, hasPhrasing, symmetrical phrasing]
-
A.
hasParagraph
Indicates that one entity contains or is associated with a specific paragraph as part of its content or structure.
-
B.
hasPhoneme
Indicates that a linguistic unit (such as a word or morpheme) contains or includes a particular phoneme as part of its sound structure.
-
C.
hasNoText
Indicates that the referenced entity or element contains no textual content.
-
D.
hasProseElements
Indicates that something contains or is composed of prose components, such as sentences, paragraphs, or narrative text.
-
E.
hasLyricPhrase
Indicates that one entity (typically a song or musical work) contains or is associated with a specific lyric phrase as part of its textual content.
- 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_69f224593f6c81908785a560fe659f58 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6c5b7e46081909975b05f7298cc0e |
completed | May 3, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c49069e48190a3486b6254a6645b |
completed | May 3, 2026, 3:44 a.m. |
Created at: April 29, 2026, 5:40 p.m.