Triple
T24768999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transylvania Company |
E619667
|
entity |
| Predicate | landPurchaseArea |
P77959
|
FINISHED |
| Object | Cumberland River region |
—
|
NE NERFINISHED |
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: Cumberland River region | Statement: [Transylvania Company, landPurchaseArea, Cumberland River region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landPurchaseArea Context triple: [Transylvania Company, landPurchaseArea, Cumberland River region]
-
A.
leaseArea
Indicates that a specified area of property or land is subject to a lease agreement between parties.
-
B.
acquiredLandArea
chosen
Indicates the total area of land that has been obtained or taken possession of through an acquisition.
-
C.
housingArea
Indicates the geographic or spatial area associated with a housing unit or residential property.
-
D.
grossLeasableArea
Indicates the total floor area within a property that is available to be leased to tenants, excluding common or non-leasable spaces.
-
E.
roofArea
Indicates the total surface area covered by the roof of a structure.
- 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_69e2fabd04488190a2d13c97be745a2d |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410a8dc8081909e2f4b65485a6786 |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:29 a.m.