Triple
T4847901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Getreidegasse |
E108335
|
entity |
| Predicate | hasSignageTradition |
P19423
|
FINISHED |
| Object | guild signs indicating trades |
—
|
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: guild signs indicating trades | Statement: [Getreidegasse, hasSignageTradition, guild signs indicating trades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignageTradition Context triple: [Getreidegasse, hasSignageTradition, guild signs indicating trades]
-
A.
hasSignage
Indicates that appropriate signs or visual markers are present to convey information, directions, warnings, or identification related to the associated entity.
-
B.
hasSignageType
Indicates the specific category or kind of signage associated with an object, location, or entity.
-
C.
hasSignageName
Indicates that an entity has a specific name or label as it appears on its physical signage.
-
D.
hasCulturalSignificanceFor
Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
-
E.
hasTraditionIn
chosen
Indicates that a particular tradition, custom, or longstanding practice is present, observed, or established within a specified place, group, or context.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2557388190a2d15571bacd24f3 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.