Triple
T38119089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oron |
E951880
|
entity |
| Predicate | usesWaterTransport |
P14751
|
FINISHED |
| Object | canoes |
—
|
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: canoes | Statement: [Oron, usesWaterTransport, canoes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesWaterTransport Context triple: [Oron, usesWaterTransport, canoes]
-
A.
usesWaterwaysFor
Indicates that one entity relies on or employs waterways as a means or route to perform an activity or function in relation to another entity.
-
B.
waterTransport
chosen
Indicates the movement or conveyance of something from one place to another via water-based means such as rivers, seas, or other aquatic routes.
-
C.
transportsWaterTo
Indicates that one entity carries or conveys water from its location or source to another entity or destination.
-
D.
travelTimeByBoat
Indicates the amount of time it takes to travel between two locations specifically when using a boat as the mode of transportation.
-
E.
transportsWaterFrom
Indicates that one entity carries or conveys water from a specified source entity to another location or entity.
- 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.