Triple
T24228082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawasaki-side toll plaza |
E601649
|
entity |
| Predicate | connectedDirection |
P82340
|
FINISHED |
| Object | toward Kisarazu-side toll plaza |
—
|
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: toward Kisarazu-side toll plaza | Statement: [Kawasaki-side toll plaza, connectedDirection, toward Kisarazu-side toll plaza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedDirection Context triple: [Kawasaki-side toll plaza, connectedDirection, toward Kisarazu-side toll plaza]
-
A.
connectionDirection
chosen
Indicates the directional flow or orientation of a connection from one entity to another.
-
B.
associatedWithDirection
Indicates that something has a relationship to, or is characterized by, a particular spatial or directional orientation.
-
C.
connectsCountryDirection
Indicates that one country is geographically connected to another in a specified cardinal or relative direction (e.g., north, south, east, west).
-
D.
connectionTo
Indicates a relationship in which one entity is linked, associated, or otherwise related to another entity.
-
E.
containsDirectionOf
Indicates that one entity includes or encompasses the directional orientation or path 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_69e29538aafc8190a2386fdebbd1393b |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f287e11e188190bd257f24cb593039 |
completed | April 29, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:01 a.m.