Triple
T10949800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 Mackintosh Building fire |
E258695
|
entity |
| Predicate | ignitionSource |
P43929
|
FINISHED |
| Object | foam canister used in student project |
—
|
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: foam canister used in student project | Statement: [2014 Mackintosh Building fire, ignitionSource, foam canister used in student project]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ignitionSource Context triple: [2014 Mackintosh Building fire, ignitionSource, foam canister used in student project]
-
A.
ignitionMethod
chosen
Indicates the specific way or mechanism by which something is ignited or set on fire.
-
B.
lightingOfEternalFlameInitiatedBy
Indicates that the action of lighting an eternal flame is initiated or carried out by a specified agent or entity.
-
C.
fires
Indicates that an agent initiates the discharge or ignition of something, such as a weapon, engine, or explosive device, causing it to operate or go off.
-
D.
fueledBy
Indicates that one entity provides the energy or power source that enables the operation or functioning of another entity.
-
E.
burnMechanism
Indicates the process or mechanism by which burning or combustion occurs or is carried out.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770ed2f1c819081ec58457f57889d |
completed | April 9, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.