Triple
T38561225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warmbronn |
E928079
|
entity |
| Predicate | hasNotablePersonDeathPlace |
—
|
GENERATED |
| Object | Frei Otto |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotablePersonDeathPlace Context triple: [Warmbronn, hasNotablePersonDeathPlace, Frei Otto]
-
A.
notablePersonDiedHere
chosen
Indicates that a notable or famous person died at the referenced location.
-
B.
hasNotablePersonBornHere
Indicates that a notable or distinguished person was born at the referenced place.
-
C.
hasHonoureePlaceOfDeath
Indicates the place where the honoured person died.
-
D.
hasNotablePersonRaisedHere
Indicates that a notable person spent their formative or upbringing years in the referenced place.
-
E.
isBorneByNotablePeopleIn
Indicates that something (such as a name, title, or attribute) is carried or held by notable people within a specified place or context.
- F. None of above.
Provenance (1 batch)
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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.