Triple
T29007227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French press |
E736468
|
entity |
| Predicate | requiresHeatSource |
P38384
|
FINISHED |
| Object | external |
—
|
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: external | Statement: [French press, requiresHeatSource, external]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresHeatSource Context triple: [French press, requiresHeatSource, external]
-
A.
heatSource
chosen
Indicates that one entity serves as a source of heat or heating for another entity.
-
B.
hasCoolingSource
Indicates that one entity provides or serves as a cooling source for another entity.
-
C.
losesHeatTo
Indicates that one entity transfers thermal energy to another, resulting in a decrease in the first entity’s heat.
-
D.
hasPlatformHeaters
Indicates that a platform is equipped with heaters to provide warmth or prevent ice and snow accumulation.
-
E.
coolingRequirement
Indicates that an entity requires or is subject to a specific amount or type of cooling to operate within acceptable conditions.
- 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_69f077eb81e88190ad9ff62cbb9f555e |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
Created at: April 28, 2026, 9:39 a.m.