Triple
T16071273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stolpersteine |
E389866
|
entity |
| Predicate | typicalInscription |
P105548
|
FINISHED |
| Object | Here lived |
—
|
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: Here lived | Statement: [Stolpersteine, typicalInscription, Here lived]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalInscription Context triple: [Stolpersteine, typicalInscription, Here lived]
-
A.
materialTypicallyInscribedOn
Indicates the material that is most commonly used as the surface or medium on which something is inscribed.
-
B.
commonlyInscribedIn
chosen
Indicates that something is typically written, carved, or engraved onto a particular surface, object, or medium.
-
C.
epigraphicType
Indicates the specific kind or category of an inscription as classified in epigraphic studies.
-
D.
scriptOfInscription
Indicates the writing system or script in which a given inscription is written.
-
E.
mottoInscription
Indicates that a particular motto is inscribed on or associated as an inscription with an entity.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.