Triple
T24190138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of the Balearic Islands |
E599670
|
entity |
| Predicate | hasPopularResortArea |
P25904
|
FINISHED |
| Object | Magaluf |
—
|
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: Magaluf | Statement: [Province of the Balearic Islands, hasPopularResortArea, Magaluf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPopularResortArea Context triple: [Province of the Balearic Islands, hasPopularResortArea, Magaluf]
-
A.
hasPopularResort
Indicates that a location or area contains or is associated with a resort that is widely visited or well-liked.
-
B.
containsResortArea
chosen
Indicates that one location or region includes within its boundaries a designated resort area.
-
C.
hasResortCommunity
Indicates that one entity includes, contains, or is associated with a resort-style residential or vacation community.
-
D.
hasResortCenter
Indicates that an entity includes or is associated with a resort facility serving as a central location for leisure or vacation activities.
-
E.
hasSpaResort
Indicates that one entity possesses, includes, or is associated with a spa resort as an amenity or feature.
- 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_69e288cdc8b88190bf2f835d3cb4ca28 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:35 p.m.