Triple
T20516555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schäfflertanz |
E503696
|
entity |
| Predicate | hasApproximateInception |
P84263
|
FINISHED |
| Object | 1517 |
—
|
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: 1517 | Statement: [Schäfflertanz, hasApproximateInception, 1517]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateInception Context triple: [Schäfflertanz, hasApproximateInception, 1517]
-
A.
hasInceptionPeriod
Indicates the time span or period during which something begins or comes into existence.
-
B.
hasApproximatePublicationStart
Indicates that an entity is associated with an estimated or imprecise starting date for its publication.
-
C.
inceptionDate
Indicates the date on which an entity, event, or relationship was first created, established, or began to exist.
-
D.
approximateInceptionPeriod
chosen
Indicates an estimated or loosely defined time period during which something began or came into existence.
-
E.
approximateStartYear
Indicates that the associated year value represents an estimated or imprecise starting year for an event, state, or relationship rather than an exact one.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f41eee481908121e54c7bd691ca |
completed | April 20, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:36 a.m.