Triple
T5469747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rochester Cathedral |
E122800
|
entity |
| Predicate | originalFoundationType |
P64261
|
FINISHED |
| Object | cathedral priory |
—
|
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: cathedral priory | Statement: [Rochester Cathedral, originalFoundationType, cathedral priory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalFoundationType Context triple: [Rochester Cathedral, originalFoundationType, cathedral priory]
-
A.
foundationType
Indicates the structural or organizational basis on which something is built, established, or supported.
-
B.
hasFoundation
Indicates that an entity is supported, established, or based upon a particular foundation or underlying basis.
-
C.
foundationEvent
Indicates the event or act through which something (such as an organization, institution, or structure) is formally established or created.
-
D.
originalBuildingType
Indicates the type or category of building that something was initially constructed or designated to be, before any later changes or repurposing.
-
E.
originalStructureType
Indicates the type or category of the structure that an entity originally had before any changes or transformations.
- F. None of above. chosen
Provenance (4 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a370a88190b5d17b8a5387138d |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd927b0b4c81909d5e0f594822e3f9 |
completed | March 20, 2026, 6:31 p.m. |
Created at: March 20, 2026, 2:09 p.m.