Triple
T22203604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord’s Rake |
E548743
|
entity |
| Predicate | safetyAdvisedAs |
P97924
|
FINISHED |
| Object | unsuitable for inexperienced walkers in poor conditions |
—
|
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: unsuitable for inexperienced walkers in poor conditions | Statement: [Lord’s Rake, safetyAdvisedAs, unsuitable for inexperienced walkers in poor conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyAdvisedAs Context triple: [Lord’s Rake, safetyAdvisedAs, unsuitable for inexperienced walkers in poor conditions]
-
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.
advisedWith
Indicates that one entity provided advice, guidance, or consultation to another entity.
-
C.
safetyRationale
Indicates the reasoning or justification provided to explain how and why something is considered safe or made safe.
-
D.
safetyResponse
Indicates how an entity reacts or what measures it takes in response to a potential or actual safety-related situation.
-
E.
safetyRelevant
Indicates that the associated entity, condition, or information has a direct impact on safety or is critical for preventing harm or accidents.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b25eac4819094b3c50027ed66db |
completed | April 28, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:36 p.m.