Triple
T31760610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saltford Manor House |
E810669
|
entity |
| Predicate | hasBeenRenovated |
P3322
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Saltford Manor House, hasBeenRenovated, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeenRenovated Context triple: [Saltford Manor House, hasBeenRenovated, yes]
-
A.
hasRenovation
chosen
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
-
B.
wasRenovatedFor
Indicates that an existing entity underwent renovation specifically to serve the needs, purposes, or use of another entity.
-
C.
hasRenovatedUnit
Indicates that an entity has a unit (e.g., property, space, or component) that has undergone renovation or significant improvement.
-
D.
renovatedAfter
Indicates that one entity was renovated at a later time than another entity.
-
E.
mayBeRenovatedFor
Indicates that something has the potential to be renovated or modified for use by or in connection with another entity or purpose.
- 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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 30, 2026, 11:30 p.m.