Triple
T22488447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | poutine râpée |
E555950
|
entity |
| Predicate | typicalBoilingTime |
P148405
|
FINISHED |
| Object | 2 to 3 hours |
—
|
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: 2 to 3 hours | Statement: [poutine râpée, typicalBoilingTime, 2 to 3 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBoilingTime Context triple: [poutine râpée, typicalBoilingTime, 2 to 3 hours]
-
A.
typicalCookingTime
Indicates the usual duration required to cook something under standard or commonly accepted conditions.
-
B.
brewingTime
Indicates the duration required to brew or prepare a beverage or similar concoction.
-
C.
boilingPoint
Indicates the temperature at which a substance changes from liquid to gas under specified pressure conditions.
-
D.
brewingTemperature
Indicates the specific temperature at which a brewing process is carried out.
-
E.
hasBoilingCenter
Indicates that something possesses or contains a central region or core area where boiling occurs.
- F. None of above. chosen
Provenance (4 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3e73108190be5ca89ea96a85e4 |
completed | April 29, 2026, 1:17 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa3b4c288190951cca06d42bea51 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:49 p.m.