Triple
T5488000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agricultural Conservation Easement Program |
E123631
|
entity |
| Predicate | easementType |
P5038
|
FINISHED |
| Object | agricultural land easements |
—
|
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: agricultural land easements | Statement: [Agricultural Conservation Easement Program, easementType, agricultural land easements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: easementType Context triple: [Agricultural Conservation Easement Program, easementType, agricultural land easements]
-
A.
ownerOfRightOfWay
Indicates that one entity holds the legal right to pass through or use a specific path, route, or area on another entity’s property.
-
B.
concessionType
Indicates the specific kind or category of concession (such as a discount, exemption, or special allowance) that applies in a given context.
-
C.
typeOfRight
chosen
Indicates the specific category or nature of a right that is held, exercised, or assigned in a given context.
-
D.
collateralType
Indicates the kind or category of collateral associated with an obligation, agreement, or financial exposure.
-
E.
typeOfAccess
Indicates the specific kind or level of access that one entity has to another (such as read, write, or execute permissions).
- 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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd93e5d0f08190a6cc9fc408b7c5bb |
completed | March 20, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69bd91a73b148190a865243536a4fe76 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:10 p.m.