Triple
T4461533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wigner crystal |
E98264
|
entity |
| Predicate | hasMeltingMechanism |
P55560
|
FINISHED |
| Object | quantum melting |
—
|
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: quantum melting | Statement: [Wigner crystal, hasMeltingMechanism, quantum melting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeltingMechanism Context triple: [Wigner crystal, hasMeltingMechanism, quantum melting]
-
A.
materialMelted
Indicates that a material has undergone melting, transitioning from a solid to a liquid state.
-
B.
isNonMelting
Indicates that the subject does not melt or transition to a liquid state under the relevant or specified conditions.
-
C.
meltingPoint
Indicates the temperature at which a substance changes from solid to liquid under specified conditions.
-
D.
hasIceShelf
Indicates that a glacier, ice sheet, or coastline possesses an attached floating extension of ice known as an ice shelf.
-
E.
isCryogenic
Indicates that something operates at, is designed for, or involves extremely low (cryogenic) temperatures.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35674f718819089388c3924dd1414 |
completed | March 13, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69b34f65f6448190abfadb2ae5658798 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff7018c81908ad8597e525c042b |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:34 p.m.