Triple
T27766065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odakyu |
E701602
|
entity |
| Predicate | notableDestinationAccess |
P35273
|
FINISHED |
| Object | Hakone area |
—
|
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: Hakone area | Statement: [Odakyu, notableDestinationAccess, Hakone area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDestinationAccess Context triple: [Odakyu, notableDestinationAccess, Hakone area]
-
A.
notableDestinationType
Indicates the general category or type of destination for which something is considered notable.
-
B.
notableDestination
chosen
Indicates that a location is recognized as a significant or prominent place that people commonly travel to or aim to visit.
-
C.
notableDestinationOrganization
Indicates that an organization is a significant or prominent destination associated with the subject, such as a key place they visit, work with, or are connected to.
-
D.
notableAccess
Indicates that one entity has significant or privileged access to another entity, resource, or location.
-
E.
notableVisit
Indicates that one entity made a visit to another entity or location that is considered significant or noteworthy.
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_6a002dd4066c8190945a09ed82f44f3f |
completed | May 10, 2026, 7:03 a.m. |
| PD | Predicate disambiguation | batch_6a002b141f4081909999e14988105f3a |
completed | May 10, 2026, 6:52 a.m. |
Created at: April 27, 2026, 4:31 p.m.