Triple
T16418919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eschenmoser–Claisen rearrangement |
E398759
|
entity |
| Predicate | thermodynamicFeature |
P119003
|
FINISHED |
| Object | irreversible under typical conditions |
—
|
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 under typical conditions | Statement: [Eschenmoser–Claisen rearrangement, thermodynamicFeature, irreversible under typical conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thermodynamicFeature Context triple: [Eschenmoser–Claisen rearrangement, thermodynamicFeature, irreversible under typical conditions]
-
A.
hasThermodynamicDescription
chosen
Indicates that something is associated with, or can be characterized by, a thermodynamic description of its properties or behavior.
-
B.
hasThermalCharacteristic
Indicates that an entity possesses a specific thermal property or behavior, such as conductivity, capacity, or response to temperature.
-
C.
thermalProperty
Indicates a relationship where an entity is associated with a characteristic describing its behavior or response with respect to temperature or heat.
-
D.
hasThermodynamicQuantity
Indicates that one entity is associated with, or characterized by, a specific thermodynamic quantity (such as temperature, pressure, or entropy).
-
E.
thermalEfficiency
Indicates how effectively an energy conversion process transforms input energy into useful output work or heat, typically expressed as a ratio or percentage.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3287a3d348190831b12101d8449b6 |
completed | April 18, 2026, 6:45 a.m. |
| PD | Predicate disambiguation | batch_69e226fe1dd08190865c181721f8c348 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:09 a.m.