Triple
T7376097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Peter and Paul Cathedral |
E170126
|
entity |
| Predicate | previousUseOfSite |
P4380
|
FINISHED |
| Object | Dutch Jewish theatre |
—
|
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: Dutch Jewish theatre | Statement: [Saint Peter and Paul Cathedral, previousUseOfSite, Dutch Jewish theatre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousUseOfSite Context triple: [Saint Peter and Paul Cathedral, previousUseOfSite, Dutch Jewish theatre]
-
A.
usedBefore
Indicates that one entity was utilized or applied prior to the use or occurrence of another entity.
-
B.
usedAt
Indicates that something is employed, applied, or utilized at a particular place, time, or context.
-
C.
formerSiteOf
chosen
Indicates that a location previously hosted or contained something (such as a structure, organization, or event) that is no longer present there.
-
D.
hasFormerUse
Indicates that something previously served a particular function or role that it no longer has.
-
E.
hasFormerUseNearby
Indicates that something in the vicinity previously had a particular use or function that is no longer current.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a8b18c8190ad1a19521eda2319 |
completed | March 27, 2026, 9:07 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:07 p.m.