Triple
T32404457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MD-03 |
E828037
|
entity |
| Predicate | isApportionedOnBasisOf |
P130274
|
FINISHED |
| Object | population as measured by the U.S. 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: population as measured by the U.S. census | Statement: [MD-03, isApportionedOnBasisOf, population as measured by the U.S. census]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isApportionedOnBasisOf Context triple: [MD-03, isApportionedOnBasisOf, population as measured by the U.S. census]
-
A.
isApportionedByPopulation
Indicates that something (such as representation, resources, or obligations) is divided among groups in proportion to their population size.
-
B.
apportionedBy
Indicates that something is divided or allocated among parts or recipients according to a specified agent, rule, or method.
-
C.
apportionsAmong
Indicates that a total quantity or resource is divided and assigned in specific portions to multiple recipients or categories.
-
D.
apportionedTo
Indicates that something has been divided and assigned in specific shares or portions to a particular recipient or target.
-
E.
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.
- 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_69f34919342c8190a4c3bf35a90d4e58 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c2451e108190a73ccfdc99203d55 |
completed | May 3, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:53 a.m.