Triple
T13041133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tōkai-Kanjō Expressway |
E327192
|
entity |
| Predicate | connectsIndustrialZone |
P64091
|
FINISHED |
| Object | automotive industry cluster in Aichi |
—
|
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: automotive industry cluster in Aichi | Statement: [Tōkai-Kanjō Expressway, connectsIndustrialZone, automotive industry cluster in Aichi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsIndustrialZone Context triple: [Tōkai-Kanjō Expressway, connectsIndustrialZone, automotive industry cluster in Aichi]
-
A.
connectsIndustrialCenter
chosen
Indicates a relationship where one entity serves as a link or route that joins or provides access between industrial centers.
-
B.
connectsCentralAreaTo
Indicates a relationship where one element serves as a link or pathway between a central area and another location or component.
-
C.
connectsArea
Indicates that one area serves as a link or passage between two other areas, enabling movement or interaction between them.
-
D.
hasIndustrialAreaType
Indicates that an entity’s industrial area is classified as a specific type or category of industrial zone.
-
E.
hasIndustrialPark
Indicates that a location or entity possesses or contains an industrial park within its area or jurisdiction.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:56 p.m.