Triple
T18931925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logan County, Kentucky |
E463133
|
entity |
| Predicate | hasGivenTerritoryTo |
P77106
|
FINISHED |
| Object | Todd County, Kentucky |
—
|
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: Todd County, Kentucky | Statement: [Logan County, Kentucky, hasGivenTerritoryTo, Todd County, Kentucky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenTerritoryTo Context triple: [Logan County, Kentucky, hasGivenTerritoryTo, Todd County, Kentucky]
-
A.
acquiredTerritoryFrom
Indicates that one entity gained control or ownership of a territory that previously belonged to another entity.
-
B.
acquiredTerritoryBy
Indicates a relationship where one entity gains control or ownership of a territory through a specific means, event, or process.
-
C.
territoryAcquired
Indicates that one entity has gained control, ownership, or possession of a geographic area from another entity.
-
D.
donatedTerritoryTo
chosen
Indicates that one entity has given control or ownership of a portion of land or territory to another entity, typically as a gift, grant, or transfer without equivalent compensation.
-
E.
gainedTerritory
Indicates that one entity has acquired control over additional land or area from another entity or from a neutral state.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9c0b84881909ad6da9522203df8 |
completed | April 20, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69e4a2efec5c8190840704016bf547a1 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 11:59 a.m.