Triple
T31964111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Counties of Tennessee |
E816126
|
entity |
| Predicate | hasLargestCountyByArea |
P34606
|
FINISHED |
| Object | Shelby County, Tennessee |
—
|
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: Shelby County, Tennessee | Statement: [Counties of Tennessee, hasLargestCountyByArea, Shelby County, Tennessee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLargestCountyByArea Context triple: [Counties of Tennessee, hasLargestCountyByArea, Shelby County, Tennessee]
-
A.
largestCountyByArea
chosen
Indicates that one county has the greatest land area compared to all other counties within a specified region or set.
-
B.
hasLargestAreaOf
Indicates that the subject entity possesses the greatest area (size of surface or region) compared to the other entities in the specified set or context.
-
C.
largestStateByArea
Indicates that a state is the one with the greatest land area within a specified set or region.
-
D.
hasLargestCountryByArea
Indicates that, among a set of compared entities, the subject is associated with the country that has the greatest land area.
-
E.
largestNeighborhoodByArea
Indicates the relationship where a neighborhood is identified as the one with the greatest land area among a specified set or within a given region.
- 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_69f348f5ae5481909da0247869f51955 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe86cad5108190b0164b8bc6fc23ea |
completed | May 9, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69fe83c0c9888190b6fc40c7f727b569 |
completed | May 9, 2026, 12:45 a.m. |
Created at: May 1, 2026, 12:09 a.m.