Triple
T24454218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 東京湾アクアライン |
E616632
|
entity |
| Predicate | hasVentilationFacility |
P23913
|
FINISHED |
| Object | 風の塔 |
—
|
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: 風の塔 | Statement: [東京湾アクアライン, hasVentilationFacility, 風の塔]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVentilationFacility Context triple: [東京湾アクアライン, hasVentilationFacility, 風の塔]
-
A.
ventilationFeature
Indicates that one entity has a structural or functional role related to providing, enabling, or affecting ventilation for another entity.
-
B.
hasVentilationShafts
Indicates that one entity is equipped with or contains ventilation shafts that provide airflow or air passage.
-
C.
hasVentilationBuildings
chosen
Indicates that certain buildings are designated to provide ventilation for another structure, area, or system.
-
D.
hasVacuumSystem
Indicates that one entity is equipped with, or includes as a component, a vacuum system.
-
E.
hasUndergroundFacilities
Indicates that one entity possesses or contains facilities or infrastructure located below ground level in relation to another entity.
- 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_69e2d7ef9fe08190a0613908758b4e86 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f298c4f1d881909d9119fec74afe53 |
completed | April 29, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:18 a.m.