Triple
T21274613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennessee–Missouri border |
E524355
|
entity |
| Predicate | isNaturalBoundary |
P58243
|
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: [Tennessee–Missouri border, isNaturalBoundary, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNaturalBoundary Context triple: [Tennessee–Missouri border, isNaturalBoundary, true]
-
A.
isBoundaryFor
Indicates that one entity serves as the limiting edge, border, or enclosing extent that defines the spatial or conceptual bounds of another entity.
-
B.
isLegalBoundary
Indicates that something serves as an officially recognized dividing line that defines the limits of a legal jurisdiction, property, or authority.
-
C.
isNaturalFeature
chosen
Indicates that the subject is a naturally occurring physical feature of the environment, not created or significantly altered by human activity.
-
D.
isUrbanBoundaryFor
Indicates that something serves as the defined outer limit or edge that separates an urban area from surrounding non-urban or differently zoned areas.
-
E.
isNaturalIn
Indicates that something occurs, exists, or develops in a place or context as a native or inherent part of it, without artificial introduction.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7365627a081908caea09097cca354 |
completed | April 21, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 16, 2026, 4:01 p.m.