Triple
T13468715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Manitou |
E311572
|
entity |
| Predicate | locatedInBodyOfWaterContext |
P1714
|
FINISHED |
| Object | on an island in Lake Huron |
—
|
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: on an island in Lake Huron | Statement: [Lake Manitou, locatedInBodyOfWaterContext, on an island in Lake Huron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInBodyOfWaterContext Context triple: [Lake Manitou, locatedInBodyOfWaterContext, on an island in Lake Huron]
-
A.
locatedInBodyOfWater
chosen
Indicates that an entity is situated within or on the surface of a specific body of water.
-
B.
locatedInWaterBodyType
Indicates that an entity is situated within or on a body of water of a specified type (e.g., lake, river, ocean).
-
C.
locatedOnWaterbody
Indicates that an entity is situated on or directly adjacent to a specified body of water.
-
D.
locatedInBodyOfWaterSharedBy
Indicates that an entity is situated within a body of water that is shared by another specified entity.
-
E.
isInlandWaterBodyOf
Indicates that one water body is an inland (non-oceanic) water feature that is geographically part of, contained within, or associated with another 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf21e46081908a00c9acf54f270f |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.