Triple
T3929099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Hampshire General Court |
E93349
|
entity |
| Predicate | memberRemuneration |
P51740
|
FINISHED |
| Object | nominal salary |
—
|
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: nominal salary | Statement: [New Hampshire General Court, memberRemuneration, nominal salary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberRemuneration Context triple: [New Hampshire General Court, memberRemuneration, nominal salary]
-
A.
membershipUnit
Indicates that an entity belongs to, is part of, or is counted within a particular unit, group, or organizational subdivision.
-
B.
commissionType
Indicates the specific kind or category of commission arrangement that applies to a given transaction or relationship.
-
C.
membershipStructure
Indicates the organizational or hierarchical arrangement that defines how members are grouped, related, and governed within a collective or system.
-
D.
relatedCommission
Indicates that one commission is connected or associated with another commission in a relevant contextual or functional way.
-
E.
confersToMembers
Indicates that something grants or bestows a benefit, right, or attribute to the members of a specified group.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda65b708190b24cd715915aec1d |
completed | March 9, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeeb5f859c819095b61f5ba8eace4f |
completed | March 9, 2026, 3:46 p.m. |
Created at: March 9, 2026, 3:23 p.m.