Triple
T34080714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’Anse, Michigan |
E874032
|
entity |
| Predicate | isShoreSettlementOf |
P157053
|
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: [L’Anse, Michigan, isShoreSettlementOf, Lake Superior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isShoreSettlementOf Context triple: [L’Anse, Michigan, isShoreSettlementOf, Lake Superior]
-
A.
isCoastalSettlementOf
Indicates that a settlement is located on or near the coast within the territory of a specified geographic or administrative area.
-
B.
coastalSettlementOf
chosen
Indicates a relationship where a settlement is located on or near the coast of a specified geographic area or body of water.
-
C.
isIslandSettlementOn
Indicates that a settlement is located on and associated with a particular island.
-
D.
isInlandSettlement
Indicates that a settlement is located away from the coast, without direct access to the sea or ocean.
-
E.
hasCityOnShore
Indicates that a city is located on or directly adjacent to the shore of a body of water.
- 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_69f349a61d448190b74642f325d3eb7a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c0605a48190b6edb215231be9f4 |
completed | May 3, 2026, 8:49 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:52 a.m.