Triple
T28637545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ise-Shima region |
E724827
|
entity |
| Predicate | hostedEventLocation |
P147149
|
FINISHED |
| Object | Shima Kanko Hotel |
—
|
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: Shima Kanko Hotel | Statement: [Ise-Shima region, hostedEventLocation, Shima Kanko Hotel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedEventLocation Context triple: [Ise-Shima region, hostedEventLocation, Shima Kanko Hotel]
-
A.
hostedEventAreaFor
Indicates that a particular area or location served as the venue or physical space where an event was hosted or took place.
-
B.
locationOfEventOrganized
chosen
Indicates the place where a particular organized event is held or takes place.
-
C.
hostsVenue
Indicates that an entity provides or manages a location where an event or activity takes place.
-
D.
eventLocationDetail
Indicates the specific place or venue where an event occurs, often providing more granular location information than a general address or area.
-
E.
countryHostedEvent
Indicates that a specific country served as the host location for a particular event.
- 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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 4:41 a.m.