Triple
T25342147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State Assembly District 123 |
E635442
|
entity |
| Predicate | hasLegislativeChamberSize |
P73787
|
FINISHED |
| Object | 150 |
—
|
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: 150 | Statement: [New York State Assembly District 123, hasLegislativeChamberSize, 150]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegislativeChamberSize Context triple: [New York State Assembly District 123, hasLegislativeChamberSize, 150]
-
A.
hasLegislativeChamberSeats
chosen
Indicates that a legislative chamber holds or is allocated a specified number of seats.
-
B.
numberOfLegislativeChambers
Indicates the quantity of distinct legislative chambers that a given political or legislative body possesses.
-
C.
numberOfPartiesInChamber
Indicates the total count of distinct parties represented within a specific legislative chamber.
-
D.
totalNumberOfLegislators
Indicates the total count of legislators associated with a given political body, jurisdiction, or legislative session.
-
E.
governingBodySize
Indicates the number of members or the overall size of the group that serves as the governing body for an entity.
- 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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 21, 2026, 1:32 p.m.