Triple
T8714858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rathaus-Glockenspiel |
E206867
|
entity |
| Predicate | animationDuration |
P21649
|
FINISHED |
| Object | approximately 12–15 minutes per show |
—
|
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: approximately 12–15 minutes per show | Statement: [Rathaus-Glockenspiel, animationDuration, approximately 12–15 minutes per show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animationDuration Context triple: [Rathaus-Glockenspiel, animationDuration, approximately 12–15 minutes per show]
-
A.
frameDuration
Indicates the length of time that a single frame in a sequence (such as video or animation) is displayed before advancing to the next frame.
-
B.
eraDuration
Indicates the length of time that a particular era or period spans.
-
C.
durationInitial
Indicates the initial length of time associated with an event, state, or process at its starting point.
-
D.
effectDuration
Indicates the length of time for which an effect remains active or valid.
-
E.
showDuration
chosen
Indicates the length of time for which something is shown, displayed, or performed.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd6707c819092c9fca34f273d5e |
completed | March 31, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.