Triple
T28259008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary of La Verna |
E712531
|
entity |
| Predicate | giftOfLandFrom |
P117702
|
FINISHED |
| Object | Count Orlando Cattani of Chiusi |
—
|
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: Count Orlando Cattani of Chiusi | Statement: [Sanctuary of La Verna, giftOfLandFrom, Count Orlando Cattani of Chiusi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: giftOfLandFrom Context triple: [Sanctuary of La Verna, giftOfLandFrom, Count Orlando Cattani of Chiusi]
-
A.
leasedLandFor
Indicates that one party has granted another party the right to use a piece of land for a specified period under a lease agreement.
-
B.
promiseOfLandTo
Indicates that one entity has made a commitment or assurance to grant or transfer land to another entity.
-
C.
landGrantRecipient
chosen
Indicates that an entity is the recipient or beneficiary of a grant of land from another party or authority.
-
D.
ownedLandBy
Indicates that one entity possesses legal or recognized ownership rights over a piece or area of land associated with another entity.
-
E.
grantedLandArea
Indicates that a specific area of land has been formally allocated or given by one party to another.
- 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_69efb5207eb08190827e4c34048030b1 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f643f68c2c8190b44dd5a13238288a |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:10 p.m.