Triple
T3884593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kac ring model |
E92908
|
entity |
| Predicate | hasMacroscopicBehavior |
P51620
|
FINISHED |
| Object | irreversible |
—
|
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: irreversible | Statement: [Kac ring model, hasMacroscopicBehavior, irreversible]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMacroscopicBehavior Context triple: [Kac ring model, hasMacroscopicBehavior, irreversible]
-
A.
microscopicMacroscopicLink
Indicates a relationship where microscopic-level phenomena or properties are causally or explanatorily connected to macroscopic-level behavior or observations.
-
B.
hasPhysicalNature
Indicates that one entity possesses or exhibits a specific physical form, composition, or material nature in relation to another.
-
C.
isMassive
Indicates that one entity has an extremely large size, scale, or extent relative to typical or comparable entities.
-
D.
isMulticellular
Indicates that an organism consists of multiple cells organized into a single functional individual.
-
E.
hasMeanDensity
Indicates that one entity possesses a specified average mass per unit volume (mean density).
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeec92cc548190b88b899299e5ccdc |
completed | March 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee80858a481909961a33fb50ff8d1 |
completed | March 9, 2026, 3:32 p.m. |
Created at: March 9, 2026, 3:20 p.m.