Triple
T17682288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buxton family estate |
E440798
|
entity |
| Predicate | hasAssociationPeriod |
P98199
|
FINISHED |
| Object | long-term association with the Buxton family |
—
|
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: long-term association with the Buxton family | Statement: [Buxton family estate, hasAssociationPeriod, long-term association with the Buxton family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociationPeriod Context triple: [Buxton family estate, hasAssociationPeriod, long-term association with the Buxton family]
-
A.
hasPeriodRange
chosen
Indicates that there is a temporal span or interval during which something is valid, active, or applicable.
-
B.
associatedPeriodEnd
Indicates the ending point or final date of the time period with which something is associated.
-
C.
hasAssociatedYear
Indicates that an entity is linked to a specific year that is relevant to it (e.g., creation, occurrence, or reference year).
-
D.
personalUnionPeriod
Indicates a time span during which two or more distinct political entities are joined under a single ruler in a personal union.
-
E.
appliedDuringPeriod
Indicates that an action, condition, or status was in effect throughout a specified time period.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4704514d481908aad4172fa930e6b |
completed | April 19, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10:02 a.m.