Triple
T21066595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debye unit |
E518988
|
entity |
| Predicate | typicalWaterDipoleMomentAtRoomTemperature |
P123739
|
FINISHED |
| Object | about 1.85 Debye |
—
|
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 1.85 Debye | Statement: [Debye unit, typicalWaterDipoleMomentAtRoomTemperature, about 1.85 Debye]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWaterDipoleMomentAtRoomTemperature Context triple: [Debye unit, typicalWaterDipoleMomentAtRoomTemperature, about 1.85 Debye]
-
A.
hasElectricDipoleMoment
chosen
Indicates that an entity possesses a nonzero electric dipole moment, representing a separation of positive and negative electric charge within it.
-
B.
densityAt25°C
Indicates the material’s mass per unit volume measured specifically at a temperature of 25°C.
-
C.
surfaceTensionAt20°C
Indicates the value of a substance’s surface tension measured at a temperature of 20 degrees Celsius.
-
D.
dielectricConstant
Indicates the relationship where a material is characterized by its dielectric constant, quantifying how strongly it permits and affects the formation of an electric field within it relative to vacuum.
-
E.
hasTypicalFreezingPoint
Indicates the temperature at which a substance normally changes from liquid to solid under standard conditions.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb455fc81909cc63fa0e87b6a35 |
completed | April 21, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:45 p.m.