Triple
T33014643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rossnowlagh Beach |
E844739
|
entity |
| Predicate | hasSafetyDesignation |
P183142
|
FINISHED |
| Object | Blue Flag |
—
|
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: Blue Flag | Statement: [Rossnowlagh Beach, hasSafetyDesignation, Blue Flag]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSafetyDesignation Context triple: [Rossnowlagh Beach, hasSafetyDesignation, Blue Flag]
-
A.
hasSafetyCharacteristic
Indicates that an entity possesses a specific safety-related property, feature, or attribute.
-
B.
hasCriticalDesignation
Indicates that an entity has been assigned a status or label marking it as critical in importance, priority, or required attention.
-
C.
hasNISTDesignation
Indicates that an entity is assigned a specific designation or identifier defined by NIST (the National Institute of Standards and Technology).
-
D.
hasSafetyCertificate
Indicates that an entity possesses or has been granted a valid safety certificate.
-
E.
hasSafetyRegulationCompliance
Indicates that an entity adheres to, satisfies, or is in conformity with specified safety regulations or standards.
- 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_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f798387ea481909f51303f53a22e52 |
completed | May 3, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79798663481908d6bc48dd6a94ca6 |
completed | May 3, 2026, 6:44 p.m. |
Created at: May 1, 2026, 1:23 a.m.