Triple
T1843146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stormfield (Mark Twain estate) |
E41222
|
entity |
| Predicate | originalAcreage |
P19614
|
FINISHED |
| Object | approximately 190 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 190 acres | Statement: [Stormfield (Mark Twain estate), originalAcreage, approximately 190 acres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalAcreage Context triple: [Stormfield (Mark Twain estate), originalAcreage, approximately 190 acres]
-
A.
hasNumberOfAcres
chosen
Indicates the specific quantity of land area, measured in acres, that is associated with an entity.
-
B.
purchasePricePerAcre
Indicates the monetary cost required to buy one acre of a specified property or land.
-
C.
requiredShareOfLand
Indicates the proportion or amount of land that must be allocated or possessed to satisfy a specified requirement or rule.
-
D.
roofArea
Indicates the total surface area covered by the roof of a structure.
-
E.
area
Indicates that one entity has a measured two-dimensional extent or surface size quantified by another entity.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafdb0d2c8190a67f584e67979fa3 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.