Triple
T28323381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwibbogen arches |
E717336
|
entity |
| Predicate | safetyEvolution |
P165414
|
FINISHED |
| Object | transition from real candles to electric lights |
—
|
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: transition from real candles to electric lights | Statement: [Schwibbogen arches, safetyEvolution, transition from real candles to electric lights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyEvolution Context triple: [Schwibbogen arches, safetyEvolution, transition from real candles to electric lights]
-
A.
safetyInnovationBy
Indicates that a safety-related innovation, measure, or improvement is created, introduced, or implemented by a specific agent or entity.
-
B.
safetyLegacy
chosen
Indicates that an entity’s current safety status, practices, or conditions are influenced or determined by past safety decisions, standards, or incidents.
-
C.
safety
Indicates that an entity provides, ensures, or is associated with protection from harm, danger, or risk for another entity or within a given context.
-
D.
safetyCategory
Indicates the classification of something according to its level or type of safety.
-
E.
safetyConcept
Indicates that something embodies, represents, or is associated with a principle, idea, or framework related to 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_69eff6e6c3b08190ad78de6ba7f04548 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 12:26 a.m.