Triple
T2041109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Board of Directors of the FDIC |
E44745
|
entity |
| Predicate | termLengthForAppointedMembers |
P33746
|
FINISHED |
| Object | 6 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: 6 years | Statement: [Board of Directors of the FDIC, termLengthForAppointedMembers, 6 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termLengthForAppointedMembers Context triple: [Board of Directors of the FDIC, termLengthForAppointedMembers, 6 years]
-
A.
termLength
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
-
B.
termLengthNumber
chosen
Indicates the numerical value representing the duration or length of a specified term.
-
C.
termLengthCondition
Indicates a condition or constraint specifying the required or allowed duration/length of a term (such as a contract, agreement, or period).
-
D.
numberOfAppointedMembers
Indicates the specific count of members who have been formally appointed to a group, body, or position.
-
E.
termLimitDefinedBy
Indicates that the duration or number of terms for holding a position is specified or constrained by a particular rule, law, or authority.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.