Triple
T27422855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Census Bureau Moore County region |
E693092
|
entity |
| Predicate | dataCollectedEvery |
P94528
|
FINISHED |
| Object | 10 years |
—
|
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: 10 years | Statement: [United States Census Bureau Moore County region, dataCollectedEvery, 10 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataCollectedEvery Context triple: [United States Census Bureau Moore County region, dataCollectedEvery, 10 years]
-
A.
measurementFrequency
chosen
Indicates how often a measurement is taken or recorded over time.
-
B.
dataCollectedAt
Indicates that some data was gathered or recorded at a specific time or place.
-
C.
dataCollectedOn
Indicates that certain data was gathered, recorded, or measured at a specific point in time or on a particular date.
-
D.
telemetryFrequency
Indicates how often telemetry data is collected, transmitted, or reported over time.
-
E.
dataTypeCollected
Indicates that a specific type or category of data is gathered or recorded in the context of an entity or 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_69ef5208617081908f731d312e0fd1bc |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62d1e948c8190aadd4607ec8f91db |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 12:36 p.m.