Triple
T21544829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playa de Palma |
E531593
|
entity |
| Predicate | frequentVisitorLanguage |
P110606
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [Playa de Palma, frequentVisitorLanguage, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequentVisitorLanguage Context triple: [Playa de Palma, frequentVisitorLanguage, German]
-
A.
hasPrimaryLanguageOfVisitors
chosen
Indicates that an entity is associated with the main language typically spoken or used by its visitors.
-
B.
languagesSpoken
Indicates that an entity is able to communicate using one or more specified languages.
-
C.
recommendsLanguage
Indicates that one entity suggests or endorses a particular language for use by another entity or in a specific context.
-
D.
shareMajorLanguage
Indicates that the entities have at least one primary or major language in common.
-
E.
queryLanguage
Indicates that an entity uses or is associated with a particular language for formulating and executing queries.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58e38808190888f3501cf4fff7c |
completed | April 27, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69e6320766308190ba5dca2f7c826aa4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:28 p.m.