Triple
T26072094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aira Force National Trust site |
E657576
|
entity |
| Predicate | hasSafetyAdvice |
P97924
|
FINISHED |
| Object | stay on paths |
—
|
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: stay on paths | Statement: [Aira Force National Trust site, hasSafetyAdvice, stay on paths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSafetyAdvice Context triple: [Aira Force National Trust site, hasSafetyAdvice, stay on paths]
-
A.
safetyAdvice
chosen
Indicates that one entity provides guidance or recommendations to another entity about how to avoid danger or reduce risk in a particular context.
-
B.
hasSafetyInformation
Indicates that one entity provides or is associated with safety-related details, warnings, or guidelines about another entity.
-
C.
safetyResponse
Indicates how an entity reacts or what measures it takes in response to a potential or actual safety-related situation.
-
D.
safetyRationale
Indicates the reasoning or justification provided to explain how and why something is considered safe or made safe.
-
E.
hasSafetyCharacteristic
Indicates that an entity possesses a specific safety-related property, feature, or attribute.
- 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_69ee5bbe539081909efc7f9dd7c1b53c |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 26, 2026, 7:30 p.m.