Triple
T26898945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tölzer Land |
E677971
|
entity |
| Predicate | tourismOrganization |
P128127
|
FINISHED |
| Object | Tölzer Land Tourismus |
—
|
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: Tölzer Land Tourismus | Statement: [Tölzer Land, tourismOrganization, Tölzer Land Tourismus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourismOrganization Context triple: [Tölzer Land, tourismOrganization, Tölzer Land Tourismus]
-
A.
tourismAssociation
Indicates that there is an organizational or formal association related to tourism activities, services, or promotion between the involved entities.
-
B.
hasTourismOrganization
chosen
Indicates that a place or destination is associated with a specific organization responsible for managing, promoting, or coordinating its tourism activities.
-
C.
touristAgency
Indicates that an entity is a travel or tourist agency that organizes or provides tourism-related services for another entity.
-
D.
tourismFrom
Indicates that tourists or visitor activity originates from one place and is directed toward another location.
-
E.
tourismModel
Indicates the conceptual framework or approach that defines how tourism activities, services, and interactions are structured and operate within a given context.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 5:49 a.m.