Triple
T31964068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Counties of Tennessee |
E816126
|
entity |
| Predicate | thirdHighestCountyPopulation |
P184619
|
FINISHED |
| Object | Knox County |
—
|
NE NERFINISHED |
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: Knox County | Statement: [Counties of Tennessee, thirdHighestCountyPopulation, Knox County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdHighestCountyPopulation Context triple: [Counties of Tennessee, thirdHighestCountyPopulation, Knox County]
-
A.
fourthHighestCountyPopulation
Indicates that the referenced county has the fourth-largest population among a specified set of counties.
-
B.
thirdLargestStateByPopulation
Indicates that the subject is the U.S. state with the third-highest population among all states.
-
C.
mostPopulousCountyIn
Indicates that the subject is the county with the largest population within the specified object region or jurisdiction.
-
D.
populationRankInCounty
Indicates the relative position of an entity in terms of population size compared to other entities within the same county.
-
E.
isOneOfMostPopulousCountiesIn
Indicates that a county ranks among the counties with the highest population within a specified larger region or jurisdiction.
- 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_69f348f5ae5481909da0247869f51955 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7b365288c8190bcb11fcfba028737 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2f2b9ac8190aa05b8a1aa18ec2d |
completed | May 3, 2026, 8:41 p.m. |
Created at: May 1, 2026, 12:09 a.m.