Triple
T475691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foreign Intelligence Surveillance Court |
E9055
|
entity |
| Predicate | termLengthOfJudges |
P540
|
FINISHED |
| Object | 7 years |
—
|
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: 7 years | Statement: [Foreign Intelligence Surveillance Court, termLengthOfJudges, 7 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termLengthOfJudges Context triple: [Foreign Intelligence Surveillance Court, termLengthOfJudges, 7 years]
-
A.
termLength
chosen
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
-
B.
numberOfJudges
Indicates the total count of judges associated with a particular case, event, or entity.
-
C.
termOfCourt
Indicates the specific judicial session or period during which a court is formally in operation for a case or legal matter.
-
D.
judgesTerm
Indicates that one entity formally evaluates or makes a judgment about a specific term or expression.
-
E.
hasChiefJudge
Indicates that an entity holds the role or position of chief judge for another entity (such as a court or judicial body).
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f03b5e5081908ee3dba9d19a6871 |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edeed31881908cf43beed410572d |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.