Triple
T16286557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carton House |
E395402
|
entity |
| Predicate | currentEstateSize |
P19614
|
FINISHED |
| Object | approximately 1,100 acres |
—
|
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: approximately 1,100 acres | Statement: [Carton House, currentEstateSize, approximately 1,100 acres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentEstateSize Context triple: [Carton House, currentEstateSize, approximately 1,100 acres]
-
A.
numberOfEstates
Indicates the total count of estates associated with a given entity or context.
-
B.
hasNumberOfAcres
chosen
Indicates the specific quantity of land area, measured in acres, that is associated with an entity.
-
C.
acquiredLandArea
Indicates the total area of land that has been obtained or taken possession of through an acquisition.
-
D.
hasAssociatedEstate
Indicates that one entity is linked to, or has responsibility for, a particular estate or property.
-
E.
heirOfEstate
Indicates that one entity is legally designated to inherit the estate or property of another entity, typically upon that entity’s death.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24914bda08190a5d6315414ee3f76 |
completed | April 17, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69e219f68d308190b71c1601303f0628 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:05 a.m.