Triple
T31023295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Cervera |
E790504
|
entity |
| Predicate | numberOfCloisters |
P202789
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [University of Cervera, numberOfCloisters, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCloisters Context triple: [University of Cervera, numberOfCloisters, 2]
-
A.
hasNumberOfCloisterCapitals
Indicates the specific count of cloister capitals associated with a given entity.
-
B.
numberOfMonasticCells
Indicates the quantity of individual monastic cells associated with a given monastic site or institution.
-
C.
cloisterDate
Indicates the date on which an entity was cloistered, enclosed, or formally withdrawn from public life.
-
D.
numberOfMonasteries
Indicates the quantity of monasteries associated with a given entity or within a specified context.
-
E.
cloisterConstruction
Indicates the construction or building activity specifically related to a cloister or cloistered architectural space.
- 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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00bb3a6f888190b3ecd0fbc9af9b4a |
completed | May 10, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_6a00b902dbf881909e098ff102b7ea7e |
completed | May 10, 2026, 4:57 p.m. |
| PDg | Predicate description generation | batch_6a00bb39c9c88190b82c8a8fb6489a61 |
completed | May 10, 2026, 5:07 p.m. |
Created at: April 29, 2026, 8:58 p.m.