Triple
T6114168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denair |
E136318
|
entity |
| Predicate | populationDensityCensus2010 |
P728
|
FINISHED |
| Object | 2131.0 per square mile |
—
|
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: 2131.0 per square mile | Statement: [Denair, populationDensityCensus2010, 2131.0 per square mile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationDensityCensus2010 Context triple: [Denair, populationDensityCensus2010, 2131.0 per square mile]
-
A.
populationDensity
Indicates the number of individuals or entities occupying a unit area within a given region.
-
B.
hasPopulationDensity
chosen
Indicates the number of individuals (e.g., people, organisms) per unit area associated with a given entity or region.
-
C.
populationDensityRankInUS
Indicates the relative position of a place in a ranking of U.S. locations ordered by population density.
-
D.
rankInUS2010Census
Indicates the numerical position of an entity in the ranking of occurrences within the 2010 United States Census.
-
E.
hasPopulationDensityType
Indicates the classification of an area based on how densely populated it is (e.g., urban, suburban, rural).
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bc0bee08190ab93eae34ea8cdde |
completed | March 22, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:14 p.m.