Triple
T33867775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joule |
E868103
|
entity |
| Predicate | conversionToBTU |
P181791
|
FINISHED |
| Object | 1 J ≈ 9.4782×10^-4 BTU |
—
|
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: 1 J ≈ 9.4782×10^-4 BTU | Statement: [Joule, conversionToBTU, 1 J ≈ 9.4782×10^-4 BTU]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionToBTU Context triple: [Joule, conversionToBTU, 1 J ≈ 9.4782×10^-4 BTU]
-
A.
conversionToKilowattHour
Indicates the transformation of a quantity from its original energy or power unit into kilowatt-hours as the target unit of measurement.
-
B.
relationToWatt
Indicates a relationship that specifies how something is connected or related to Watt, such as by association, reference, or contextual linkage.
-
C.
conversionToCalorie
Indicates a relationship where a quantity is transformed or expressed in terms of its equivalent value in calories.
-
D.
conversionUse
Indicates that one entity is used as a means, method, or context for converting another entity from one form, state, or representation to another.
-
E.
usesEnergyConversion
Indicates that an entity performs or involves a process where one form of energy is transformed into another to achieve a function or outcome.
- 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_69f34995029081909ede0f7df73d1a5e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7824dc3f0819092a5102895b4a478 |
completed | May 3, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f7817c79e081908e685c48165e086b |
completed | May 3, 2026, 5:10 p.m. |
Created at: May 1, 2026, 1:47 a.m.