Triple
T9807810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land Remote Sensing Policy Act of 1992 |
E238195
|
entity |
| Predicate | balancesInterest |
P90106
|
FINISHED |
| Object | national security interests |
—
|
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: national security interests | Statement: [Land Remote Sensing Policy Act of 1992, balancesInterest, national security interests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: balancesInterest Context triple: [Land Remote Sensing Policy Act of 1992, balancesInterest, national security interests]
-
A.
interestType
Indicates the specific category or nature of interest that one entity has in relation to another or to a subject.
-
B.
representsInterestOf
Indicates that one entity expresses, holds, or embodies an interest, concern, or stake in another entity or subject.
-
C.
recognizedInterest
Indicates that one entity has formally acknowledged or identified another entity’s interest in something as valid or relevant.
-
D.
interestRateName
Indicates the specific label or designation used to identify a particular interest rate.
-
E.
effectOnTotalInterest
Indicates how a given factor or action changes the overall amount of interest accrued or owed.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab7ddaac8190a5584a5c863fbaa3 |
completed | April 1, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:29 p.m.