Triple
T8221700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Jersey state legislative districts |
E192077
|
entity |
| Predicate | totalGeneralAssemblySeats |
P73787
|
FINISHED |
| Object | 80 |
—
|
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: 80 | Statement: [New Jersey state legislative districts, totalGeneralAssemblySeats, 80]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalGeneralAssemblySeats Context triple: [New Jersey state legislative districts, totalGeneralAssemblySeats, 80]
-
A.
governingBodySeats
Indicates the number of seats or positions an entity holds in a specified governing body.
-
B.
numberOfAtLargeSeats
Indicates the total count of at-large seats (positions not tied to specific districts or subunits) associated with an entity.
-
C.
hasGeneralAssembly
Indicates that an entity possesses or is associated with a general assembly as its formal deliberative or decision-making body.
-
D.
plenaryChamberCapacity
Indicates the seating capacity of the main plenary chamber where formal sessions or assemblies are held.
-
E.
hasLegislativeChamberSeats
chosen
Indicates that a legislative chamber holds or is allocated a specified number of seats.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb77c9680081909000fde3c9ae83ea |
completed | March 31, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69cb36af41e081909dee92b9bc4947f1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:45 p.m.