Triple
T29765430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Fire of Munich 1327 |
E753891
|
entity |
| Predicate | reconstructionIncludes |
P155713
|
FINISHED |
| Object | St Peter’s Church, Munich |
—
|
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: St Peter’s Church, Munich | Statement: [Great Fire of Munich 1327, reconstructionIncludes, St Peter’s Church, Munich]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reconstructionIncludes Context triple: [Great Fire of Munich 1327, reconstructionIncludes, St Peter’s Church, Munich]
-
A.
reconstructionUsedIn
Indicates that a particular reconstruction (e.g., a restored version or inferred structure) is employed or applied within a given context, process, or work.
-
B.
reconstructionDetails
Indicates that there is information specifying how something was rebuilt, restored, or reassembled after damage, loss, or alteration.
-
C.
reconstructionWork
Indicates that an entity is engaged in or associated with activities to rebuild, restore, or repair something that was damaged, destroyed, or altered.
-
D.
reconstructedIn
Indicates that something has been rebuilt, restored, or re-created within a particular context, location, or medium.
-
E.
reconstructionIncorporated
chosen
Indicates that one reconstruction has been incorporated into, or included as part of, another reconstruction.
- 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_69f0ef827ff88190ade56e0b0846b713 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f6745c64e08190b36a80dbbedb1db6 |
completed | May 2, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 8:37 p.m.