Triple
T28368692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Township of the Second Class (Pennsylvania local government classification) |
E718563
|
entity |
| Predicate | typicalPopulationDensity |
P202542
|
FINISHED |
| Object | lower population density than first class townships |
—
|
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: lower population density than first class townships | Statement: [Township of the Second Class (Pennsylvania local government classification), typicalPopulationDensity, lower population density than first class townships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPopulationDensity Context triple: [Township of the Second Class (Pennsylvania local government classification), typicalPopulationDensity, lower population density than first class townships]
-
A.
hasPopulationDensity
Indicates the number of individuals (e.g., people, organisms) per unit area associated with a given entity or region.
-
B.
hasPopulationDensityType
Indicates the classification of an area based on how densely populated it is (e.g., urban, suburban, rural).
-
C.
populationDensity
Indicates the number of individuals or entities occupying a unit area within a given region.
-
D.
hasPopulationCenterDensity
Indicates the density of population centers within a given area or region.
-
E.
typicalPopulationPerDistrict
Indicates the usual or average number of people found in each administrative district.
- F. None of above. chosen
Provenance (4 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_69eff6ed5af48190be4e0adf298223e0 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_6a008ebb22408190a2293bced40a7e53 |
completed | May 10, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_6a008e8715dc8190ab23292605901bf4 |
completed | May 10, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_6a008eba6de8819083165152448f6071 |
completed | May 10, 2026, 1:57 p.m. |
Created at: April 28, 2026, 12:57 a.m.