Triple
T16286556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carton House |
E395402
|
entity |
| Predicate | originalEstateSize |
P122537
|
FINISHED |
| Object | over 1,000 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: over 1,000 acres | Statement: [Carton House, originalEstateSize, over 1,000 acres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalEstateSize Context triple: [Carton House, originalEstateSize, over 1,000 acres]
-
A.
originalEstateName
Indicates the name originally assigned to an estate or property before any subsequent changes or renamings.
-
B.
originalEstates
Indicates that an entity is associated with or represents the initial or primary estates from which subsequent rights, interests, or derived estates originate.
-
C.
originalNumberOfEstates
Indicates the total count of estates that existed initially, before any changes or subsequent events.
-
D.
acquiredLandArea
Indicates the total area of land that has been obtained or taken possession of through an acquisition.
-
E.
occupiesFormerEstateOf
Indicates that one entity currently resides in, uses, or controls a property that was previously the estate of another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:05 a.m.