Triple
T37611356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akademische Festouvertüre |
E935791
|
entity |
| Predicate | hasOpeningCharacter |
P17856
|
FINISHED |
| Object | quiet |
—
|
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: quiet | Statement: [Akademische Festouvertüre, hasOpeningCharacter, quiet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpeningCharacter Context triple: [Akademische Festouvertüre, hasOpeningCharacter, quiet]
-
A.
hasTextOpening
Indicates that an entity begins with or contains a specified initial segment of text.
-
B.
hasOpeningDeclaredBy
Indicates that the opening or initial state of something is formally specified or announced by a particular agent or authority.
-
C.
hasOpeningType
chosen
Indicates that one entity has, features, or is characterized by a particular type or kind of opening.
-
D.
hasClosingSectionCharacter
Indicates that something includes a specific character used to mark the end of a section.
-
E.
hasOpening
Indicates that one entity possesses or features an opening, gap, or entrance that allows access, passage, or exposure.
- 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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: May 3, 2026, 4:18 p.m.