Triple
T11922252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1990 United States census |
E283683
|
entity |
| Predicate | coverageEvaluationMethod |
P750
|
FINISHED |
| Object | post-enumeration survey |
—
|
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: post-enumeration survey | Statement: [1990 United States census, coverageEvaluationMethod, post-enumeration survey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverageEvaluationMethod Context triple: [1990 United States census, coverageEvaluationMethod, post-enumeration survey]
-
A.
assessmentMethod
chosen
Indicates the method or procedure used to evaluate, measure, or judge something.
-
B.
coverageModel
Indicates a relationship where a specific model or framework defines, structures, or governs the extent and manner in which something is covered or addressed.
-
C.
evaluationUse
Indicates that something is used as a basis, tool, or resource for evaluating or assessing something else.
-
D.
evaluatesComplianceWith
Indicates that one entity assesses whether another entity or its behavior meets specified rules, standards, or requirements.
-
E.
evaluationBasis
Indicates the criteria, standards, or reference framework used to judge, assess, or measure something in an evaluation process.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e1b08481909ed291667035f330 |
completed | April 10, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.