Triple
T3929085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Hampshire General Court |
E93349
|
entity |
| Predicate | hasUpperHouseSeats |
P22218
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [New Hampshire General Court, hasUpperHouseSeats, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUpperHouseSeats Context triple: [New Hampshire General Court, hasUpperHouseSeats, 24]
-
A.
haveUpperHouseRepresentationIn
Indicates that an entity holds or is assigned representation in a specified upper legislative chamber.
-
B.
upperHouseInvolved
Indicates that the upper legislative chamber (e.g., senate) participates in, influences, or is formally involved in the referenced action, process, or decision.
-
C.
numberOfMembersUpperHouse
chosen
Indicates the total count of individuals serving as members in the upper house of a legislative body.
-
D.
upperHouseRepresentation
Indicates the relationship by which an entity is represented in, or holds seats within, an upper legislative chamber (such as a senate or upper house of parliament).
-
E.
upperHouse
Indicates that one entity functions as the higher or upper legislative chamber in relation to a given political or governmental system.
- 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_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. |
Created at: March 9, 2026, 3:23 p.m.