Triple
T3057408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnson County, Kansas |
E60513
|
entity |
| Predicate | populationRankInKansas |
P17370
|
FINISHED |
| Object | most populous county in Kansas |
—
|
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: most populous county in Kansas | Statement: [Johnson County, Kansas, populationRankInKansas, most populous county in Kansas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInKansas Context triple: [Johnson County, Kansas, populationRankInKansas, most populous county in Kansas]
-
A.
rankInKansasByPopulation
chosen
Indicates the position of an entity in an ordered list of Kansas entities based on their population size.
-
B.
populationRankInMissouri
Indicates the relative position of an entity in terms of population size compared to other entities within the state of Missouri.
-
C.
rankByPopulationInUnitedStates
Indicates the relative ordering of entities based on their population size within the United States.
-
D.
stateRank
Indicates the relative position or standing of an entity within a specific state-level ordering or hierarchy.
-
E.
populationRankInTexas
Indicates the relative position of an entity in terms of population size compared to other entities within Texas.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e162d148190969fb422a45d052c |
completed | March 8, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69ad962326e081909d5521c3d3ea3158 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.