Triple
T23748875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moore County, Tennessee |
E586901
|
entity |
| Predicate | isSmallPopulation |
P22797
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Moore County, Tennessee, isSmallPopulation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSmallPopulation Context triple: [Moore County, Tennessee, isSmallPopulation, true]
-
A.
hasVerySmallResidentPopulation
chosen
Indicates that the subject location has a resident population that is extremely small in size.
-
B.
isLessPopulousThan
Indicates that one entity has a smaller population size than another entity.
-
C.
isSmallDistrict
Indicates that a district is classified as small, typically based on its limited size, population, or administrative scope.
-
D.
reducedPopulationOf
Indicates a relationship where one entity has caused a decrease in the size or number of individuals in a population of another entity.
-
E.
isSmallCity
Indicates that a city has a relatively small population size or limited geographic/urban extent compared to typical cities.
- 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcc118dc8190b0b92e402b9a7dd4 |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:12 p.m.