Triple
T24590072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan Island Light |
E608505
|
entity |
| Predicate | locatedOnGreatLake |
P156468
|
FINISHED |
| Object | Lake Superior |
—
|
NE NERFINISHED |
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: Lake Superior | Statement: [Michigan Island Light, locatedOnGreatLake, Lake Superior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnGreatLake Context triple: [Michigan Island Light, locatedOnGreatLake, Lake Superior]
-
A.
positionInGreatLakesChain
Indicates the relative location or ordering of an entity within the sequence of the Great Lakes.
-
B.
cityOnLake
Indicates that a city is located on the shore or edge of a particular lake.
-
C.
locatedInLakeRegion
Indicates that the subject entity is situated within a geographic area characterized as a lake region.
-
D.
sharesGreatLakes
Indicates that two places are both bordered by or have access to one or more of the same Great Lakes.
-
E.
locatedInNationalLakeshore
Indicates that one place or feature is situated within the boundaries of a designated national lakeshore area.
- F. None of above. chosen
Provenance (4 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a9da6eb881909b11d4d4cec8e458 |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:30 a.m.