Triple
T36757264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ständehaus (Stuttgart) |
E908084
|
entity |
| Predicate | servedAsMeetingPlaceOf |
P16368
|
FINISHED |
| Object | First Chamber of the Estates of Württemberg |
—
|
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: First Chamber of the Estates of Württemberg | Statement: [Ständehaus (Stuttgart), servedAsMeetingPlaceOf, First Chamber of the Estates of Württemberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAsMeetingPlaceOf Context triple: [Ständehaus (Stuttgart), servedAsMeetingPlaceOf, First Chamber of the Estates of Württemberg]
-
A.
traditionalMeetingPlace
Indicates that a location is customarily used as a gathering spot for meetings or social interactions according to established tradition.
-
B.
gatheringPlace
chosen
Indicates a location where entities come together or assemble, typically for a shared activity, purpose, or event.
-
C.
capitalOfMeetingPlace
Indicates that a location serves as the capital city where a particular meeting or set of meetings takes place.
-
D.
wasHeadquartersDuring
Indicates that a particular location served as the headquarters of an entity during a specified time period.
-
E.
meetsInPlaceOf
Indicates that one entity meets or comes together with another specifically at a designated place or location.
- 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_69f76e779bec8190be0e1f87a131e0f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a005247dba08190acadf962bcefe4a0 |
completed | May 10, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_6a00519029848190a234358dfba45084 |
completed | May 10, 2026, 9:36 a.m. |
Created at: May 3, 2026, 4:12 p.m.