Triple
T24552451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naruto |
E607408
|
entity |
| Predicate | bridgePartOf |
P106503
|
FINISHED |
| Object | Kobe-Awaji-Naruto Expressway |
—
|
NE NERFINISHED |
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: Kobe-Awaji-Naruto Expressway | Statement: [Naruto, bridgePartOf, Kobe-Awaji-Naruto Expressway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bridgePartOf Context triple: [Naruto, bridgePartOf, Kobe-Awaji-Naruto Expressway]
-
A.
bridgeLocation
Indicates the specific place or area where a bridge is situated or spans.
-
B.
bridgeComponent
chosen
Indicates that one entity functions as a structural or functional component of a bridge associated with another entity.
-
C.
bridgeType
Indicates the specific kind or classification of a bridge associated with an entity.
-
D.
bridgeStructure
Indicates a structural relationship where one entity functions as a bridge that spans or connects two separate points or areas.
-
E.
bridgeFeature
Indicates that one entity functions as a structural or functional feature of a bridge associated with 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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8cdb6b88190ad17a9b3ba607fb3 |
completed | April 30, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.