Triple
T13817089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | indium |
E332045
|
entity |
| Predicate | thermalProperty |
P111609
|
FINISHED |
| Object | low melting point |
—
|
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: low melting point | Statement: [indium, thermalProperty, low melting point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thermalProperty Context triple: [indium, thermalProperty, low melting point]
-
A.
thermalConductivity
Indicates how effectively heat is conducted through a material per unit temperature gradient.
-
B.
thermalExpansionCoefficient
Indicates how much a material's size changes per unit length (or volume) for each degree change in temperature.
-
C.
heatTransferMedium
Indicates that one entity serves as the medium or carrier through which heat is transferred from one place or object to another.
-
D.
heatFlow
Indicates the transfer of thermal energy from one entity or region to another due to a temperature difference.
-
E.
thermalConductivityRank
Indicates the relative ordering of entities based on how effectively they conduct heat.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0281bb988190803ee195f430b9c8 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:12 p.m.