Triple
T2082960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 United States census |
E45283
|
entity |
| Predicate | decadeCoveredForApportionment |
P35705
|
FINISHED |
| Object | 2010s |
—
|
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: 2010s | Statement: [2010 United States census, decadeCoveredForApportionment, 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decadeCoveredForApportionment Context triple: [2010 United States census, decadeCoveredForApportionment, 2010s]
-
A.
apportionedBy
Indicates that something is divided or allocated among parts or recipients according to a specified agent, rule, or method.
-
B.
apportionmentDataDeadlineOriginal
Indicates the original deadline by which apportionment-related data must be provided or finalized.
-
C.
hasRedistrictingCycle
Indicates that an entity is associated with a specific schedule or sequence of redistricting events, such as when and how its electoral districts are periodically redrawn.
-
D.
basedOnCensusYear
Indicates that something (such as data, a decision, or a classification) is derived from or determined using information from a specific census year.
-
E.
apportionedAfter
Indicates that one entity is distributed, allocated, or divided only after another specified event, action, or allocation has occurred.
- 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba5097ac8190a723a8af2982238c |
completed | March 7, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69abb7b298a48190b4bdf7c9800b058d |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb94ec400819097596732aabed854 |
completed | March 7, 2026, 5:36 a.m. |
Created at: March 4, 2026, 7:41 p.m.