Triple
T6330328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athanasius Kircher fountain |
E141962
|
entity |
| Predicate | eponymCentury |
P39753
|
FINISHED |
| Object | 17th 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: 17th century | Statement: [Athanasius Kircher fountain, eponymCentury, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eponymCentury Context triple: [Athanasius Kircher fountain, eponymCentury, 17th century]
-
A.
eponymFor
Indicates that one entity gives its name to another entity, which is then named after it.
-
B.
eponymApprovalYear
Indicates the year in which an eponym (a name derived from a person or entity) was formally approved or adopted.
-
C.
eponymCountry
Indicates that a country is named after (or serves as the namesake for) a particular person, place, or entity.
-
D.
historicalEraOfNaming
chosen
Indicates the historical era or time period during which an entity received its name.
-
E.
hadEponymousAncestor
Indicates that an entity has an ancestor whose name it shares or from whom its own name is derived.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651334c08190a9514faa36e7812d |
completed | March 22, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:30 p.m.