Triple
T22923478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsylvania's 18th congressional district |
E569227
|
entity |
| Predicate | lastCongressionalApportionmentUsed |
P130274
|
FINISHED |
| Object | 2010 United States census |
—
|
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: 2010 United States census | Statement: [Pennsylvania's 18th congressional district, lastCongressionalApportionmentUsed, 2010 United States census]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastCongressionalApportionmentUsed Context triple: [Pennsylvania's 18th congressional district, lastCongressionalApportionmentUsed, 2010 United States census]
-
A.
firstCongressionalApportionment
Indicates the initial allocation of legislative representation (such as seats in a congress or parliament) among regions or constituencies following the first relevant census or founding arrangement.
-
B.
firstApportionedUnderCurrentSystem
Indicates that something was initially allocated or distributed under the rules of the current system in use.
-
C.
dataUsedForApportionment
chosen
Indicates that certain data is utilized as the basis for determining how something (such as representation, resources, or allocations) is apportioned among different units or groups.
-
D.
frequencyOfReapportionment
Indicates how often reapportionment occurs within a given system or context.
-
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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d7973c8190b09a5690fd1d3f28 |
completed | April 29, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:43 p.m.