Triple
T22858298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Representatives of the United States |
E566842
|
entity |
| Predicate | reapportionmentInterval |
P142374
|
FINISHED |
| Object | 10 years |
—
|
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: 10 years | Statement: [House of Representatives of the United States, reapportionmentInterval, 10 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reapportionmentInterval Context triple: [House of Representatives of the United States, reapportionmentInterval, 10 years]
-
A.
apportionmentInterval
Indicates the time span or interval over which something (such as a quantity, cost, or resource) is allocated or distributed.
-
B.
frequencyOfReapportionment
chosen
Indicates how often reapportionment occurs within a given system or context.
-
C.
reapportionmentEffect
Indicates the impact or consequences that a reapportionment (such as redistricting or redistribution of representation) has on the related entities.
-
D.
apportionedAfter
Indicates that one entity is distributed, allocated, or divided only after another specified event, action, or allocation has occurred.
-
E.
apportionedBy
Indicates that something is divided or allocated among parts or recipients according to a specified agent, rule, or method.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ebe3f9c8190a864f4e84dc7795d |
completed | April 29, 2026, 3:45 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:37 p.m.