Triple
T11876951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | うめだスカイビル |
E282551
|
entity |
| Predicate | 展望台_特徴 |
P102012
|
FINISHED |
| Object | 屋外型の展望フロアがある |
—
|
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: 屋外型の展望フロアがある | Statement: [うめだスカイビル, 展望台_特徴, 屋外型の展望フロアがある]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 展望台_特徴 Context triple: [うめだスカイビル, 展望台_特徴, 屋外型の展望フロアがある]
-
A.
observationPlatform
Indicates that one entity serves as the physical or virtual platform, site, or facility from which observations of another entity or phenomenon are made.
-
B.
observationTowerBuiltIn
Indicates that an observation tower was constructed within or during a specific location or time period.
-
C.
observationTowerDesign
Indicates a design relationship in which one entity serves as the architectural or structural design for an observation tower associated with another entity.
-
D.
isObservationTower
Indicates that something functions as an observation tower, serving primarily as a structure for viewing or monitoring an area from an elevated position.
-
E.
hasObservationDeckName
Indicates that an observation deck is associated with a specific name or title.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:44 p.m.