Triple
T33837737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apportionment Act of 1911 |
E867279
|
entity |
| Predicate | setsMinimumRepresentation |
P177762
|
FINISHED |
| Object | one Representative per state |
—
|
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: one Representative per state | Statement: [Apportionment Act of 1911, setsMinimumRepresentation, one Representative per state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setsMinimumRepresentation Context triple: [Apportionment Act of 1911, setsMinimumRepresentation, one Representative per state]
-
A.
setsMinimumRules
Indicates that one entity establishes the lowest acceptable standards or baseline rules that another entity must follow.
-
B.
requiresRepresentationBy
Indicates that one entity must be represented or acted for by another entity, typically in a formal, legal, or official capacity.
-
C.
setsMinimumAge
Indicates that an entity establishes the lowest permissible age required for participation, access, or eligibility in relation to another entity or activity.
-
D.
minimumSize
Indicates that there is a lower bound or smallest allowable value for the size of something in the relationship.
-
E.
recommendedMinimumSize
Indicates the smallest size that is advised or suggested as a minimum for something to be used or considered appropriate.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:47 a.m.