Triple
T3546151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mill City |
E75000
|
entity |
| Predicate | associatedWithRiverFeature |
P44836
|
FINISHED |
| Object | waterfalls used for power |
—
|
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: waterfalls used for power | Statement: [Mill City, associatedWithRiverFeature, waterfalls used for power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithRiverFeature Context triple: [Mill City, associatedWithRiverFeature, waterfalls used for power]
-
A.
closelyAssociatedRiver
Indicates a river that is geographically or functionally closely connected to the subject, such as flowing nearby, through, or otherwise strongly linked to it.
-
B.
associatedWithWaterways
chosen
Indicates a relationship in which something is connected, linked, or relevant to waterways such as rivers, canals, or streams.
-
C.
hasRiver
Indicates that a location or area contains, is traversed by, or is directly associated with a river.
-
D.
riverFeatureType
Indicates the specific kind or category of physical or functional feature associated with a river (e.g., source, mouth, tributary, channel segment).
-
E.
riverRelation
Indicates a spatial or geographic relationship between one river and another, such as confluence, branching, or relative positioning.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfcf64488190af8452308734028c |
completed | March 8, 2026, 6:28 p.m. |
| PD | Predicate disambiguation | batch_69adae15749881909b847c6ca73c934e |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:20 p.m.