Triple
T13677963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Old Fritz |
E327924
|
entity |
| Predicate | historicalContextCentury |
P10303
|
FINISHED |
| Object | 18th century |
—
|
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: 18th century | Statement: [The Old Fritz, historicalContextCentury, 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalContextCentury Context triple: [The Old Fritz, historicalContextCentury, 18th century]
-
A.
historicalFormulationCentury
Indicates the century during which something was originally formulated or first established.
-
B.
century
chosen
Indicates that an entity is associated with, occurs in, or belongs to a particular 100-year time period.
-
C.
originalCentury
Indicates the century in which something was originally created, produced, or came into existence.
-
D.
latestCentury
Indicates that the associated time or event occurs in, or belongs to, the most recent century relative to a given reference point.
-
E.
introductionCentury
Indicates the century during which something was first introduced or came into use.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65d8dc081909664e69bb38610ba |
completed | April 12, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8d8d0881908d6e89954f44eed4 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.