Triple
T4876710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caswell Bay |
E109221
|
entity |
| Predicate | hasSafetyRating |
P54985
|
FINISHED |
| Object | generally safe for families |
—
|
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: generally safe for families | Statement: [Caswell Bay, hasSafetyRating, generally safe for families]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSafetyRating Context triple: [Caswell Bay, hasSafetyRating, generally safe for families]
-
A.
hasSafetyCertificate
Indicates that an entity possesses or has been granted a valid safety certificate.
-
B.
measuresSafetyUsing
Indicates that an entity evaluates or assesses safety by employing a specified method, tool, or standard.
-
C.
safetyCategory
chosen
Indicates the classification of something according to its level or type of safety.
-
D.
hasSafetyRegulationCompliance
Indicates that an entity adheres to, satisfies, or is in conformity with specified safety regulations or standards.
-
E.
safetyPerception
Indicates how safe an entity is perceived to be by an observer or group, rather than its objectively measured safety.
- 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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c28e56081908ee411ac94c3769e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:27 p.m.