Triple
T23938113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VisitOSLO area |
E602697
|
entity |
| Predicate | includesActivitiesType |
P20949
|
FINISHED |
| Object | sightseeing |
—
|
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: sightseeing | Statement: [VisitOSLO area, includesActivitiesType, sightseeing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesActivitiesType Context triple: [VisitOSLO area, includesActivitiesType, sightseeing]
-
A.
includesActivities
Indicates that one entity contains, encompasses, or has as part of it the activities associated with another entity.
-
B.
hasActivityType
chosen
Indicates the specific kind or category of activity associated with an entity or event.
-
C.
hasChildrenActivities
Indicates that an entity is associated with one or more activities specifically intended for children.
-
D.
includesEvents
Indicates that one entity contains or encompasses one or more events as part of its scope or composition.
-
E.
hasActivityIn
Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
- 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_69e2953cf6e081909b8e25a10a52dddc |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1cfa267b88190a1e7d599f22441e2 |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:07 p.m.