Triple
T1955063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euston Hall, Suffolk |
E42247
|
entity |
| Predicate | hasEstateType |
P33508
|
FINISHED |
| Object | agricultural estate |
—
|
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: agricultural estate | Statement: [Euston Hall, Suffolk, hasEstateType, agricultural estate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEstateType Context triple: [Euston Hall, Suffolk, hasEstateType, agricultural estate]
-
A.
hasAssociatedEstate
Indicates that one entity is linked to, or has responsibility for, a particular estate or property.
-
B.
hadEstate
Indicates that an entity possessed or owned a particular estate or landed property.
-
C.
hasWealthType
Indicates that an entity possesses or is associated with a particular category or type of wealth.
-
D.
hasNearbyHistoricalEstate
Indicates that one entity is located close to another entity that is a recognized historical estate.
-
E.
hasEndowmentType
Indicates that an entity is associated with a particular category or type of endowment.
- F. None of above. chosen
Provenance (4 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb353aa8c81909810347f9981a02f |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff3eda88190b643994cb4dfb8df |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb1ddccbc8190bf2bd8bac673c0c5 |
completed | March 7, 2026, 5:04 a.m. |
Created at: March 4, 2026, 7:36 p.m.