Triple
T26060467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villas |
E657242
|
entity |
| Predicate | censusAreaType |
P78996
|
FINISHED |
| Object | census-designated place |
—
|
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: census-designated place | Statement: [Villas, censusAreaType, census-designated place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: censusAreaType Context triple: [Villas, censusAreaType, census-designated place]
-
A.
censusDivisionType
Indicates the classification of a census division according to its official administrative or statistical type.
-
B.
statisticalAreaClassification
Indicates how an area is categorized based on statistical criteria, such as population, density, or other quantitative measures, for analysis or reporting purposes.
-
C.
typeOfAreaRepresented
Indicates that one entity specifies the kind or category of area that another entity represents.
-
D.
localGovernmentAreaType
Indicates the specific classification or category of a local government area within an administrative or governmental hierarchy.
-
E.
censusSubdivisionType
chosen
Indicates the specific administrative or geographic category assigned to a census subdivision (e.g., city, town, rural area) within a census system.
- 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60691a4c081909a2589d00b68838d |
completed | May 2, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 7:17 p.m.