Triple
T24228036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umihotaru Parking Area |
E601648
|
entity |
| Predicate | connectsViaRoute |
P845
|
FINISHED |
| Object | Kisarazu |
—
|
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: Kisarazu | Statement: [Umihotaru Parking Area, connectsViaRoute, Kisarazu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsViaRoute Context triple: [Umihotaru Parking Area, connectsViaRoute, Kisarazu]
-
A.
servesAsRouteTo
Indicates that one entity functions as a pathway, channel, or means of access leading to another entity.
-
B.
routeVia
Indicates that a connection, path, or communication between two points is established or carried out through an intermediate location, node, or channel.
-
C.
connectsTo
chosen
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
-
D.
associatedWithRouteNetwork
Indicates a relationship where something is linked or connected to a specific route network.
-
E.
parallelRoute
Indicates that one route runs alongside and in the same general direction as another route without intersecting it.
- 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.