Triple
T14387849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fahrenheit |
E356770
|
entity |
| Predicate | temperatureIntervalBetweenFreezingAndBoilingOfWater |
P114044
|
FINISHED |
| Object | 180 degrees Fahrenheit |
—
|
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: 180 degrees Fahrenheit | Statement: [Fahrenheit, temperatureIntervalBetweenFreezingAndBoilingOfWater, 180 degrees Fahrenheit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: temperatureIntervalBetweenFreezingAndBoilingOfWater Context triple: [Fahrenheit, temperatureIntervalBetweenFreezingAndBoilingOfWater, 180 degrees Fahrenheit]
-
A.
hasTypicalFreezingPoint
Indicates the temperature at which a substance normally changes from liquid to solid under standard conditions.
-
B.
boilingPoint
Indicates the temperature at which a substance changes from liquid to gas under specified pressure conditions.
-
C.
temperatureRangeDifference
Indicates the difference between two temperature ranges, typically measuring how much one range is higher or lower than another.
-
D.
meltingPoint
Indicates the temperature at which a substance changes from solid to liquid under specified conditions.
-
E.
absoluteZeroInCelsius
Indicates that the temperature value is equal to absolute zero when expressed in degrees Celsius.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90283b9c8190b50d30ad58bfe085 |
completed | April 14, 2026, 7:06 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
| PDg | Predicate description generation | batch_69de2e08b6c08190bb4c929deab236a6 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:16 a.m.