Triple
T1099537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dormition Cathedral |
E24346
|
entity |
| Predicate | predecessorBuildingDemolishedIn |
P12342
|
FINISHED |
| Object | 1474 |
—
|
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: 1474 | Statement: [Dormition Cathedral, predecessorBuildingDemolishedIn, 1474]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorBuildingDemolishedIn Context triple: [Dormition Cathedral, predecessorBuildingDemolishedIn, 1474]
-
A.
demolishedToMakeWayFor
Indicates that one entity was intentionally destroyed or removed in order to create space for another entity or development.
-
B.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
-
C.
originalBuildingDemolishedInCentury
chosen
Indicates that the original building was demolished at some point during the specified century.
-
D.
successorBuildingOnSite
Indicates that one building directly replaces another on the same physical site or location.
-
E.
demolished
Indicates that one entity completely destroyed or razed another entity, typically a structure or object, so that it no longer exists in its previous form.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9be92688190838ce35cd67e01f3 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b745ef3481909a7ce4647c8567b3 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:43 p.m.