Triple
T20985205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reapportionment Act of 1929 |
E516874
|
entity |
| Predicate | houseSeatsCap |
P106399
|
FINISHED |
| Object | 435 |
—
|
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: 435 | Statement: [Reapportionment Act of 1929, houseSeatsCap, 435]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: houseSeatsCap Context triple: [Reapportionment Act of 1929, houseSeatsCap, 435]
-
A.
maximumSeatsPerState
Indicates the upper limit on the number of seats that any single state is allowed to have.
-
B.
numberOfSeatsInHouseOfRepresentativesPeak
chosen
Indicates the highest recorded number of seats held in the House of Representatives at any point in time.
-
C.
plenaryChamberCapacity
Indicates the seating capacity of the main plenary chamber where formal sessions or assemblies are held.
-
D.
numberOfTermsInHouse
Indicates the total count of terms an individual has served in a legislative house.
-
E.
officialCapacities
Indicates that the relationship or action is performed in an entity’s formal, authorized, or institutional role rather than in a personal or informal capacity.
- 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe218748190a987b9f922d9be1b |
completed | April 21, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:48 p.m.