Triple
T6978161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raspberry Island |
E161765
|
entity |
| Predicate | lightStationBuiltFor |
P73616
|
FINISHED |
| Object | navigation on Lake Superior |
—
|
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: navigation on Lake Superior | Statement: [Raspberry Island, lightStationBuiltFor, navigation on Lake Superior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightStationBuiltFor Context triple: [Raspberry Island, lightStationBuiltFor, navigation on Lake Superior]
-
A.
lightSourceFor
Indicates that one entity serves as the source of illumination for another entity.
-
B.
lightType
Indicates the specific category or kind of light associated with an entity or lighting setup.
-
C.
lightSourceGeneration
Indicates that an entity produces or emits light, serving as a source of illumination for other entities or the environment.
-
D.
laterLightSource
Indicates that one light source occurs or is activated after another in time.
-
E.
litOn
Indicates that one entity is illuminated or activated by a light source associated with another entity.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db68d25c8190a1776908619ad979 |
completed | March 27, 2026, 7:32 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c262508190a7708b3d9cf23d7c |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8e2d7b48190b37bb13984663cde |
completed | March 27, 2026, 7:22 p.m. |
Created at: March 27, 2026, 2:31 p.m.