Triple
T5681570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | helium-3 |
E125209
|
entity |
| Predicate | superfluidTransitionTemperature |
P65746
|
FINISHED |
| Object | about 2.5 mK to 3 mK depending on pressure |
—
|
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: about 2.5 mK to 3 mK depending on pressure | Statement: [helium-3, superfluidTransitionTemperature, about 2.5 mK to 3 mK depending on pressure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: superfluidTransitionTemperature Context triple: [helium-3, superfluidTransitionTemperature, about 2.5 mK to 3 mK depending on pressure]
-
A.
boilingPoint
Indicates the temperature at which a substance changes from liquid to gas under specified pressure conditions.
-
B.
meltingPoint
Indicates the temperature at which a substance changes from solid to liquid under specified conditions.
-
C.
noFiniteTemperatureTransition
Indicates that the system does not undergo a phase transition at any finite (non-zero) temperature.
-
D.
surfaceTemperature_K
Indicates the temperature of a surface expressed in kelvins.
-
E.
maxSurfaceTemperature
Indicates the highest temperature that the surface of an entity can reach or sustain under specified conditions.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c024861bc88190a17782c1982fbb3e |
completed | March 22, 2026, 5:19 p.m. |
Created at: March 22, 2026, 3:44 p.m.