Triple
T6213298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmira, California |
E138921
|
entity |
| Predicate | isCensusArea |
P43597
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Elmira, California, isCensusArea, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCensusArea Context triple: [Elmira, California, isCensusArea, true]
-
A.
censusRegion
Indicates the broader census-defined geographic region in which an entity (such as a place or population unit) is located or classified.
-
B.
includedInCensus
Indicates that an entity was recorded or counted as part of a specific census.
-
C.
isPartOfMicropolitanArea
Indicates that an entity belongs to or is included within a designated micropolitan area.
-
D.
censusDesignatedPlace
chosen
Indicates that an entity is classified as a census-designated place, i.e., a populated area defined for statistical purposes by a census authority.
-
E.
statisticalAreaClassification
Indicates how an area is categorized based on statistical criteria, such as population, density, or other quantitative measures, for analysis or reporting purposes.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0628c52ec8190b9c62c7fdc0aa83b |
completed | March 22, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c055fdea3c81908f5d910f0d36234a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:21 p.m.