Triple
T21066647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debye temperature |
E518989
|
entity |
| Predicate | highTemperatureLimitImplies |
P107019
|
FINISHED |
| Object | Dulong–Petit law behavior of heat capacity |
—
|
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: Dulong–Petit law behavior of heat capacity | Statement: [Debye temperature, highTemperatureLimitImplies, Dulong–Petit law behavior of heat capacity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highTemperatureLimitImplies Context triple: [Debye temperature, highTemperatureLimitImplies, Dulong–Petit law behavior of heat capacity]
-
A.
maximumForGivenTemperatures
Indicates the maximum value attained when considering a specified set or range of temperatures.
-
B.
highTemperaturePhaseIs
Indicates that an entity exists or operates in a specified phase or state when at high temperature.
-
C.
summerHighTemperaturesOftenExceed
Indicates that during the summer season, the high temperatures in a given location frequently surpass a specified threshold.
-
D.
hasTemperatureCriterion
chosen
Indicates that something is associated with a specific temperature-based condition or requirement that must be met.
-
E.
hasTemperature
Indicates that an entity possesses or is characterized by a specific temperature value.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb455fc81909cc63fa0e87b6a35 |
completed | April 21, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:45 p.m.