Triple
T18190662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Executive Order 13531 |
E435523
|
entity |
| Predicate | numberOfCommissionMembers |
P21525
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [Executive Order 13531, numberOfCommissionMembers, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCommissionMembers Context triple: [Executive Order 13531, numberOfCommissionMembers, 18]
-
A.
numberOfCommitteeMembers
Indicates the total count of individuals who are members of a given committee.
-
B.
numberOfCommissioners
chosen
Indicates the specific count of commissioners associated with a given entity or context.
-
C.
numberOfAppointedMembers
Indicates the specific count of members who have been formally appointed to a group, body, or position.
-
D.
numberOfBoardMembers
Indicates the total count of individuals who serve as members on a board.
-
E.
numberOfFullMembers
Indicates the total count of entities that hold full membership status within a specified group or organization.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0cf0d7c81908ce0386c52ef601d |
completed | April 19, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69e4331e92408190ad607ba4956a3897 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.