Triple
T37611357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akademische Festouvertüre |
E935791
|
entity |
| Predicate | hasClosingCharacter |
P196031
|
FINISHED |
| Object | triumphant |
—
|
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: triumphant | Statement: [Akademische Festouvertüre, hasClosingCharacter, triumphant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClosingCharacter Context triple: [Akademische Festouvertüre, hasClosingCharacter, triumphant]
-
A.
hasClosingSectionCharacter
Indicates that something includes a specific character used to mark the end of a section.
-
B.
hasClosingAction
Indicates that an entity performs or is associated with an action that brings a process, event, or interaction to an end.
-
C.
hasClosingMotif
Indicates that one entity features or is associated with a recurring thematic or structural pattern used at the end or conclusion of another entity.
-
D.
hasEnding
Indicates that one entity concludes with, or terminates in, another entity (such as a specific substring, segment, or final component).
-
E.
closingSectionCharacter
Indicates that one character functions as the closing or terminating symbol for a particular section or block of content in relation to another element.
- 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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
| PDg | Predicate description generation | batch_69fe00d8d8248190a63c12aa2c2f7c0c |
completed | May 8, 2026, 3:27 p.m. |
Created at: May 3, 2026, 4:18 p.m.