Triple
T31593486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TNT |
E806161
|
entity |
| Predicate | isRelativelySafeTo |
P71486
|
FINISHED |
| Object | melt and cast under controlled 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: melt and cast under controlled conditions | Statement: [TNT, isRelativelySafeTo, melt and cast under controlled conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRelativelySafeTo Context triple: [TNT, isRelativelySafeTo, melt and cast under controlled conditions]
-
A.
isSecureFor
Indicates that one entity provides a level of protection or safety that makes it appropriate or safe for use, access, or interaction by another entity.
-
B.
isRelatively
chosen
Indicates that one entity is being described, measured, or evaluated in relation to another entity or reference point, rather than in absolute terms.
-
C.
previouslySafeFor
Indicates that something was considered safe for a particular entity or use at an earlier time, but that safety status may no longer hold.
-
D.
failsSafeTo
Indicates that one entity does not successfully ensure the safety or protection of another entity or context.
-
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_69f348d4891c8190b02bae3c8ecb68b7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8332a008190949520bac1f9a0b0 |
completed | May 3, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:29 p.m.