Triple
T1083562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Bang nucleosynthesis |
E24000
|
entity |
| Predicate | hydrogenMassFraction |
P7288
|
FINISHED |
| Object | about 75 percent |
—
|
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 75 percent | Statement: [Big Bang nucleosynthesis, hydrogenMassFraction, about 75 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hydrogenMassFraction Context triple: [Big Bang nucleosynthesis, hydrogenMassFraction, about 75 percent]
-
A.
fractionHydrogenByMass
chosen
Indicates the proportion of an entity’s total mass that is contributed by hydrogen.
-
B.
fractionHeliumByMass
Indicates the proportion of an entity’s total mass that is made up of helium.
-
C.
averageHydrogenNumberDensity
Indicates the mean number of hydrogen atoms per unit volume within a specified region or system.
-
D.
hydrogenValueApprox
Indicates that one entity’s hydrogen-related value (such as concentration, content, or measurement) is approximately equal to that of another entity.
-
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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b95e56948190a1e92367ad7240b7 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b73f4310819086281f8ec67d1a32 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.