Triple
T15614149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Composition H6 |
E375369
|
entity |
| Predicate | hasApproximateMassFraction |
P69904
|
FINISHED |
| Object | RDX 44%–45% |
—
|
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: RDX 44%–45% | Statement: [Composition H6, hasApproximateMassFraction, RDX 44%–45%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateMassFraction Context triple: [Composition H6, hasApproximateMassFraction, RDX 44%–45%]
-
A.
hasMassFraction
chosen
Indicates that a specified portion of a substance’s total mass is attributable to a particular component or constituent.
-
B.
approximateMass
Indicates that one entity has a mass value that is an estimate or close approximation of the mass of another entity.
-
C.
fractionHydrogenByMass
Indicates the proportion of an entity’s total mass that is contributed by hydrogen.
-
D.
hasNeutralHydrogenMass
Indicates that an entity possesses a specified amount of mass in the form of neutral (non-ionized) hydrogen.
-
E.
hasApproximateHydrogenNumberDensity
Indicates that an entity is associated with a hydrogen number density value that is approximate rather than exact.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e83407c8190abbcd4b7fab0ff85 |
completed | April 16, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69deda844af081909e658ebc9d9b403d |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:13 a.m.