Triple
T5565641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohio and Erie Canal |
E145872
|
entity |
| Predicate | towpathUsedBy |
P13660
|
FINISHED |
| Object | mule teams |
—
|
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: mule teams | Statement: [Ohio and Erie Canal, towpathUsedBy, mule teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: towpathUsedBy Context triple: [Ohio and Erie Canal, towpathUsedBy, mule teams]
-
A.
hasTowpath
Indicates that a waterway or canal is accompanied by a path running alongside it, typically used for towing boats.
-
B.
someRightOfWayUsedBy
chosen
Indicates that a particular right of way is utilized or traversed by a specified user, route, or transport entity.
-
C.
TrailLinkIs
Indicates that one trail segment is connected to or continues from another trail segment.
-
D.
roadUse
Indicates that an entity utilizes or travels on a particular road or roadway for movement or transport.
-
E.
hasTunnelsOnRoad
Indicates that a road includes or passes through one or more tunnels along its route.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02033cc308190895f13454c57f452 |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b12826c8190969a584d0f53aa44 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:36 p.m.