Triple
T32854198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princes of Solms-Braunfels |
E840331
|
entity |
| Predicate | presentDayCountryOfTerritory |
P190072
|
FINISHED |
| Object | Federal Republic of Germany |
—
|
NE NERFINISHED |
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: Federal Republic of Germany | Statement: [Princes of Solms-Braunfels, presentDayCountryOfTerritory, Federal Republic of Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentDayCountryOfTerritory Context triple: [Princes of Solms-Braunfels, presentDayCountryOfTerritory, Federal Republic of Germany]
-
A.
presentDayTerritoryOf
Indicates that one entity is the modern-day territorial equivalent or current geographic area corresponding to another (typically historical) entity.
-
B.
presentDayCityCountry
Indicates that a given city is located in a specified country in the present day.
-
C.
countryCurrently
Indicates that an entity is presently located in or associated with a specific country.
-
D.
presentDayProvince
Indicates that one entity is the present-day administrative province in which the other entity is currently located or to which it now belongs.
-
E.
presentNameCountry
Indicates that an entity is currently known or referred to by a specific country name.
- 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_69f349412c78819084459850e11d29f7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcab6d41a88190a3576b4b088dcabd |
completed | May 7, 2026, 3:10 p.m. |
Created at: May 1, 2026, 1:17 a.m.