Triple
T2082930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 United States census |
E45283
|
entity |
| Predicate | questionnaireType |
P35703
|
FINISHED |
| Object | short-form only |
—
|
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: short-form only | Statement: [2010 United States census, questionnaireType, short-form only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: questionnaireType Context triple: [2010 United States census, questionnaireType, short-form only]
-
A.
questionType
Indicates the specific category or kind of question that an item, query, or prompt belongs to.
-
B.
surveySystemType
Indicates the type or category of system used to conduct or manage a survey.
-
C.
questionForm
Indicates that one entity is expressed or structured in the form of a question directed toward another entity or context.
-
D.
surveyMode
Indicates the method or format by which a survey is administered or conducted (e.g., online, phone, in-person).
-
E.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
- 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.