Triple
T32344419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parc du Château (Mérignac) |
E826414
|
entity |
| Predicate | isSurrounding |
P7850
|
FINISHED |
| Object | historic château |
—
|
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: historic château | Statement: [Parc du Château (Mérignac), isSurrounding, historic château]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSurrounding Context triple: [Parc du Château (Mérignac), isSurrounding, historic château]
-
A.
hasSurroundings
Indicates that an entity is located within or encircled by a particular environment, context, or set of surrounding elements.
-
B.
surrounds
chosen
Indicates that one entity is located all around another entity, enclosing or encircling it on multiple sides or completely.
-
C.
supportsSurroundLayout
Indicates that one entity provides or enables the use of a surround-style layout configuration for another entity.
-
D.
surroundedButDidNotInclude
Indicates that one entity completely encircled another in space or extent, while explicitly excluding that inner entity from its own area or membership.
-
E.
previouslySurroundedBy
Indicates that an entity was, at some earlier time, completely encircled or enclosed by another entity or group of entities.
- 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_69f34914dfc48190a390cd0720d9e86f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6be28d7008190a10138a08a0ec643 |
completed | May 3, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:48 a.m.