Triple
T2058832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decennial United States Census |
E45738
|
entity |
| Predicate | followUpMethod |
P18002
|
FINISHED |
| Object | in-person enumeration by census takers |
—
|
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: in-person enumeration by census takers | Statement: [Decennial United States Census, followUpMethod, in-person enumeration by census takers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followUpMethod Context triple: [Decennial United States Census, followUpMethod, in-person enumeration by census takers]
-
A.
followsUp
Indicates that one entity continues, responds to, or builds upon a previous entity, typically as a subsequent action, communication, or step.
-
B.
followUpRelease
Indicates that one release occurs subsequently as a continuation or update to a previous release.
-
C.
appointmentMethod
Indicates how an appointment is arranged, such as the channel, process, or means used to schedule it.
-
D.
follows
Indicates that one entity comes after, moves behind, or acts in accordance with another entity in time, space, or sequence.
-
E.
submissionMethod
chosen
Indicates the means or channel through which something is submitted or delivered.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9af42988190a4e977154dd10312 |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7ad5a7c8190b92575d6053b3fb7 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.