Triple
T7374778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenville, Mississippi |
E170095
|
entity |
| Predicate | hasRiverInfrastructure |
P4361
|
FINISHED |
| Object | levees along the Mississippi River |
—
|
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: levees along the Mississippi River | Statement: [Greenville, Mississippi, hasRiverInfrastructure, levees along the Mississippi River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiverInfrastructure Context triple: [Greenville, Mississippi, hasRiverInfrastructure, levees along the Mississippi River]
-
A.
hasRiver
Indicates that a location or area contains, is traversed by, or is directly associated with a river.
-
B.
hasMajorRiverSystem
Indicates that an entity possesses or is traversed by a primary, large-scale river network that significantly characterizes its hydrology or geography.
-
C.
hasStructureOnWatercourse
chosen
Indicates that a structure is physically located on, over, or directly associated with a specific watercourse.
-
D.
watercourseHasDam
Indicates that a watercourse (such as a river or stream) has a dam constructed on or across it.
-
E.
hasAqueduct
Indicates that one entity possesses, contains, or is equipped with an aqueduct that serves or passes through it.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a6643c81909d626c8b6a7a11fd |
completed | March 27, 2026, 9:07 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:07 p.m.