Triple
T38043879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frannie, Wyoming |
E949561
|
entity |
| Predicate | hasPopulationDensityPerSquareMile2010 |
P728
|
FINISHED |
| Object | 356.8 |
—
|
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: 356.8 | Statement: [Frannie, Wyoming, hasPopulationDensityPerSquareMile2010, 356.8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPopulationDensityPerSquareMile2010 Context triple: [Frannie, Wyoming, hasPopulationDensityPerSquareMile2010, 356.8]
-
A.
hasPopulationDensity
chosen
Indicates the number of individuals (e.g., people, organisms) per unit area associated with a given entity or region.
-
B.
populationTotal2010
Indicates the total number of individuals in a population as measured or recorded for the year 2010.
-
C.
hasPopulationDensityType
Indicates the classification of an area based on how densely populated it is (e.g., urban, suburban, rural).
-
D.
hasPopulationDensityUnit
Indicates the unit of measurement used to express a population density value for a given entity.
-
E.
rankInUS2010Census
Indicates the numerical position of an entity in the ranking of occurrences within the 2010 United States Census.
- 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_69f76eff0bb0819084bc4e63997bd039 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a0004582bb08190b8d0b88251e8d333 |
completed | May 10, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_6a0003e3e5588190933beea5fb28f150 |
completed | May 10, 2026, 4:04 a.m. |
Created at: May 3, 2026, 4:20 p.m.