Triple
T38672274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow |
E943627
|
entity |
| Predicate | canSublimate |
P191507
|
FINISHED |
| Object | Directly to water vapor |
—
|
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: Directly to water vapor | Statement: [Snow, canSublimate, Directly to water vapor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canSublimate Context triple: [Snow, canSublimate, Directly to water vapor]
-
A.
canMelt
Indicates that one entity has the capability to melt another entity or substance under appropriate conditions.
-
B.
canUseSubstance
Indicates that an entity is able or permitted to make use of a particular substance.
-
C.
hasSubstance
Indicates that one entity contains, consists of, or is composed of a particular substance or material.
-
D.
hasSubImprint
Indicates that one imprint functions as a subordinate or subsidiary imprint under another imprint.
-
E.
canBeReconstituted
Indicates that something has the capacity to be restored or returned to a prior or functional state, typically after being separated, dissolved, or broken down.
- 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdfbafbf48190abe38ec0003a6419 |
completed | May 7, 2026, 6:53 p.m. |
Created at: May 3, 2026, 4:33 p.m.