Triple
T2725412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2000 United States census |
E60178
|
entity |
| Predicate | longFormSampleRate |
P41889
|
FINISHED |
| Object | about 1 in 6 households |
—
|
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: about 1 in 6 households | Statement: [2000 United States census, longFormSampleRate, about 1 in 6 households]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: longFormSampleRate Context triple: [2000 United States census, longFormSampleRate, about 1 in 6 households]
-
A.
audioSampleRateHz
Indicates the number of audio samples captured or played back per second, measured in hertz (Hz), for the associated audio data.
-
B.
audioSampleRates
Indicates the relationship between an audio resource and the sample rate(s) at which that audio is encoded or can be processed.
-
C.
maximumRecordedLength
Indicates the greatest length value that has been observed and recorded for the entity in question.
-
D.
soundRecordingSpeed
Indicates the recording speed at which an audio recording was captured or is intended to be played back.
-
E.
longVersionLength
Indicates that one entity specifies the length or duration of a more detailed or extended version of another entity.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdacd7e24819084a620063e3f7aa4 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd82586f88190a98f60d3247fe2d3 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd949c120819099a9d56eb71a0339 |
completed | March 7, 2026, 7:52 a.m. |
Created at: March 6, 2026, 9:55 p.m.