Triple
T25799314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sequatchie County, Tennessee |
E649774
|
entity |
| Predicate | hasCountySeatPopulationRankInCounty |
P24333
|
FINISHED |
| Object | largest city |
—
|
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: largest city | Statement: [Sequatchie County, Tennessee, hasCountySeatPopulationRankInCounty, largest city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountySeatPopulationRankInCounty Context triple: [Sequatchie County, Tennessee, hasCountySeatPopulationRankInCounty, largest city]
-
A.
hasCountySeatPopulation
Indicates that a county is associated with a county seat whose population has a specified size or value.
-
B.
populationRankInCounty
chosen
Indicates the relative position of an entity in terms of population size compared to other entities within the same county.
-
C.
hasCountySeatCounty
Indicates that a county seat is administratively associated with and serves as the seat of government for a specific county.
-
D.
hasCountySeatCity
Indicates that a county has a specific city that serves as its official administrative center or county seat.
-
E.
hasCountySeatRelation
Indicates that a specific place serves as the county seat (administrative center) of a particular county.
- 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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: April 22, 2026, 6:35 a.m.