Triple
T22030489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Eulària beach |
E544071
|
entity |
| Predicate | hasCleanlinessLevel |
P146343
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Santa Eulària beach, hasCleanlinessLevel, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCleanlinessLevel Context triple: [Santa Eulària beach, hasCleanlinessLevel, high]
-
A.
hasCleaningFacility
Indicates that an entity provides or is equipped with a facility or service for cleaning.
-
B.
isRinseRequired
Indicates that an item or surface must be rinsed, typically with water, as a required step in a process or procedure.
-
C.
amenityLevel
Indicates the degree or quality of facilities, services, or conveniences provided in relation to something.
-
D.
hasSurfaceQuality
Indicates that one entity possesses a particular characteristic or condition of its surface.
-
E.
isAboveWarrantGrade
Indicates that one entity’s rank, level, or grade is higher than the threshold defined as the “warrant” grade.
- F. None of above. chosen
Provenance (4 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ed0cb08190aead0838cc62934c |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:24 p.m.