Triple
T29746871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Hakodate |
E752777
|
entity |
| Predicate | nightViewType |
P167838
|
FINISHED |
| Object | “million-dollar night view” (nickname) |
—
|
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: “million-dollar night view” (nickname) | Statement: [Mount Hakodate, nightViewType, “million-dollar night view” (nickname)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nightViewType Context triple: [Mount Hakodate, nightViewType, “million-dollar night view” (nickname)]
-
A.
nightUse
Indicates that an entity is used, active, or intended specifically during the night.
-
B.
nightService
Indicates that a service operates or is available during nighttime hours.
-
C.
nightServicePattern
Indicates that a service or operation follows a specific pattern or schedule that applies only during nighttime hours.
-
D.
nightServiceRoute
Indicates that a transportation route operates specifically during nighttime or late-night hours.
-
E.
hasNightViewSpot
Indicates that a location offers a suitable vantage point for viewing the scenery or cityscape at night.
- 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_69f0d62b064081908c1ae61cd68fb139 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f67367c41c8190a750374567b8e782 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 28, 2026, 7:51 p.m.