Triple
T3124388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Savoye |
E65260
|
entity |
| Predicate | villaUse |
P45038
|
FINISHED |
| Object | country house |
—
|
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: country house | Statement: [Pierre Savoye, villaUse, country house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: villaUse Context triple: [Pierre Savoye, villaUse, country house]
-
A.
lakeProperty
Indicates that a property is located on, adjacent to, or otherwise directly associated with a lake.
-
B.
residenceUsedFor
chosen
Indicates that a particular residence is used for a specific purpose, function, or activity.
-
C.
constructedAsVillaFor
Indicates that something was built or developed specifically to serve as a villa for a particular beneficiary or owner.
-
D.
home venue type
Indicates the kind or category of place that serves as the primary location where an entity regularly hosts its events or activities.
-
E.
residence
Indicates that one entity lives at, is based in, or habitually occupies the location represented by the other entity.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada52d856c8190a5d65b8a6452be21 |
completed | March 8, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69ad9df62e548190b053e1478deed467 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:04 p.m.