Triple
T21038124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennessee–Georgia border |
E518246
|
entity |
| Predicate | disputeFocusesOn |
P107087
|
FINISHED |
| Object | access to Tennessee River water |
—
|
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: access to Tennessee River water | Statement: [Tennessee–Georgia border, disputeFocusesOn, access to Tennessee River water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disputeFocusesOn Context triple: [Tennessee–Georgia border, disputeFocusesOn, access to Tennessee River water]
-
A.
disputeInvolves
Indicates that a particular dispute includes or concerns the specified entities as participants or parties to the conflict.
-
B.
disputeIssue
chosen
Indicates that there is a disagreement or conflict specifically concerning a particular issue or point of contention.
-
C.
disputeOrigin
Indicates that there is disagreement or uncertainty about the source, cause, or initial point of something.
-
D.
disputeBecameProminent
Indicates that a dispute increased in visibility or significance to the point of attracting widespread attention or recognition.
-
E.
significantDispute
Indicates a serious, often prolonged disagreement or conflict exists between the involved entities.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcee13b08190a8b3372f6759cd1b |
completed | April 21, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:05 p.m.