Triple
T11466647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowenstein–Jensen medium |
E271796
|
entity |
| Predicate | requiresIncubationTemperature |
P99735
|
FINISHED |
| Object | 35–37 °C |
—
|
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: 35–37 °C | Statement: [Lowenstein–Jensen medium, requiresIncubationTemperature, 35–37 °C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresIncubationTemperature Context triple: [Lowenstein–Jensen medium, requiresIncubationTemperature, 35–37 °C]
-
A.
requiresCookingTemperature
Indicates that performing the action or preparing the item necessitates reaching or maintaining a specific cooking temperature.
-
B.
hasTemperatureRegime
Indicates that an entity is characterized by or associated with a particular pattern or regime of temperature conditions.
-
C.
fermentationTemperature
Indicates the temperature at which a fermentation process is carried out or maintained.
-
D.
eggIncubation
Indicates that one entity is keeping another (typically an egg) under suitable conditions for development until it hatches.
-
E.
hasTemperature
Indicates that an entity possesses or is characterized by a specific temperature value.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f5eb988190b309b8e309f6d1a5 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:35 p.m.