Triple
T37753278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lapeer micropolitan statistical area |
E941038
|
entity |
| Predicate | censusBureauCategory |
P13001
|
FINISHED |
| Object | Micropolitan statistical area |
—
|
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: Micropolitan statistical area | Statement: [Lapeer micropolitan statistical area, censusBureauCategory, Micropolitan statistical area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: censusBureauCategory Context triple: [Lapeer micropolitan statistical area, censusBureauCategory, Micropolitan statistical area]
-
A.
census
Indicates that an official count or survey is conducted to determine the number and characteristics of a population within a defined area or group.
-
B.
inUSCensus
Indicates that an entity is recorded or included in the United States Census.
-
C.
censusCategoryIntroducedBy
Indicates that a particular census category was first established or brought into use by a specified authority, document, or event.
-
D.
censusDefinedAs
chosen
Indicates that one entity is formally specified, characterized, or classified by another according to census definitions or criteria.
-
E.
censusUsage
Indicates that an entity makes use of census data or statistics for its activities, analysis, or decision-making.
- 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_69f76ee1f3a88190834e6c8af99bccc9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef34714819097b5bec9095023e5 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:19 p.m.