Triple
T26981249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celsius |
E679604
|
entity |
| Predicate | freezingPointOfWaterInKelvin |
P87494
|
FINISHED |
| Object | 273.15 K |
—
|
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: 273.15 K | Statement: [Celsius, freezingPointOfWaterInKelvin, 273.15 K]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: freezingPointOfWaterInKelvin Context triple: [Celsius, freezingPointOfWaterInKelvin, 273.15 K]
-
A.
waterTriplePointApproximation
Indicates that the condition or value corresponds to an approximation of water’s triple point, where its solid, liquid, and vapor phases coexist in equilibrium.
-
B.
absoluteZeroInCelsius
Indicates that the temperature value is equal to absolute zero when expressed in degrees Celsius.
-
C.
temperatureIntervalBetweenFreezingAndBoilingOfWater
Indicates that the temperature value lies within the interval between the freezing point and the boiling point of water under standard conditions.
-
D.
boilingPoint
Indicates the temperature at which a substance changes from liquid to gas under specified pressure conditions.
-
E.
hasTypicalFreezingPoint
chosen
Indicates the temperature at which a substance normally changes from liquid to solid under standard 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_69eeeb507a7081909d516e1fa08b7d29 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621565a3c8190ba5ede5ab86328af |
completed | May 2, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:46 a.m.