Triple
T14636276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Water |
E343615
|
entity |
| Predicate | surfaceTensionAt20°C |
P115138
|
FINISHED |
| Object | about 72.8 mN/m |
—
|
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 72.8 mN/m | Statement: [Water, surfaceTensionAt20°C, about 72.8 mN/m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceTensionAt20°C Context triple: [Water, surfaceTensionAt20°C, about 72.8 mN/m]
-
A.
surfaceEnergy
Indicates the amount of energy associated with the surface of a material or interface, typically required to create or modify that surface.
-
B.
boilingPoint
Indicates the temperature at which a substance changes from liquid to gas under specified pressure conditions.
-
C.
meltingPoint
Indicates the temperature at which a substance changes from solid to liquid under specified conditions.
-
D.
solubilityInWater
Indicates how readily a substance dissolves in water under specified conditions.
-
E.
waterTriplePointApproximation
Indicates that the condition or value corresponds to an approximation of water’s triple point, where its solid, liquid, and vapor phases coexist in equilibrium.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ab9578819085b4cf7244d30d87 |
completed | April 14, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:26 a.m.