Triple
T18311734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Livingston the Elder |
E438640
|
entity |
| Predicate | landGrantArea |
P65806
|
FINISHED |
| Object | approximately 160000 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 160000 acres | Statement: [Robert Livingston the Elder, landGrantArea, approximately 160000 acres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landGrantArea Context triple: [Robert Livingston the Elder, landGrantArea, approximately 160000 acres]
-
A.
grantedLandArea
chosen
Indicates that a specific area of land has been formally allocated or given by one party to another.
-
B.
landGrantField
Indicates that a specific field or parcel of land has been allocated or granted, typically by an authority, to a recipient under a land grant arrangement.
-
C.
acquiredLandArea
Indicates the total area of land that has been obtained or taken possession of through an acquisition.
-
D.
landGrantLocation
Indicates the geographic place or area to which a particular land grant applies or in which it is situated.
-
E.
landGrantDesignation
Indicates that an institution has been formally designated as a land-grant institution under a land-grant program or legislation.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50219cd548190b8da5f402d5da773 |
completed | April 19, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.