Triple
T37248456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shin-Aomori–Shin-Hakodate-Hokuto |
E923925
|
entity |
| Predicate | hasUnderseaSection |
P194501
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Shin-Aomori–Shin-Hakodate-Hokuto, hasUnderseaSection, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderseaSection Context triple: [Shin-Aomori–Shin-Hakodate-Hokuto, hasUnderseaSection, yes]
-
A.
lengthUnderseaSection
Indicates that the specified length pertains to the portion of an object or route that lies beneath the sea surface.
-
B.
hasSeaBottom
Indicates that one entity possesses, is characterized by, or is associated with a particular type or condition of sea bottom.
-
C.
hasSubseaTunnel
Indicates that one location or structure is connected to another by an underwater tunnel.
-
D.
hasSubmarineExtension
Indicates that something possesses an additional part, feature, or capability specifically related to a submarine.
-
E.
partOfUnderseaFeature
Indicates that one undersea feature is a component or subdivision of a larger undersea feature.
- 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_69f76eaabb4c819093b751b139dad551 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69fd76d0d7608190b350336d6c18182d |
completed | May 8, 2026, 5:38 a.m. |
Created at: May 3, 2026, 4:15 p.m.