Triple
T868838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Local Interstellar Cloud |
E18765
|
entity |
| Predicate | hasApproximateHydrogenNumberDensity |
P20335
|
FINISHED |
| Object | 0.1 atoms per cubic centimeter |
—
|
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: 0.1 atoms per cubic centimeter | Statement: [Local Interstellar Cloud, hasApproximateHydrogenNumberDensity, 0.1 atoms per cubic centimeter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateHydrogenNumberDensity Context triple: [Local Interstellar Cloud, hasApproximateHydrogenNumberDensity, 0.1 atoms per cubic centimeter]
-
A.
hydrogenValueApprox
Indicates that one entity’s hydrogen-related value (such as concentration, content, or measurement) is approximately equal to that of another entity.
-
B.
hasMeanDensity
Indicates that one entity possesses a specified average mass per unit volume (mean density).
-
C.
fractionHydrogenByMass
Indicates the proportion of an entity’s total mass that is contributed by hydrogen.
-
D.
approximateMass
Indicates that one entity has a mass value that is an estimate or close approximation of the mass of another entity.
-
E.
hasApproximateNumberOfLetters
Indicates that an entity is associated with a number that roughly, but not exactly, corresponds to the count of letters it contains.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac7f98908190883f71049092c7c8 |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa87504481909618a6815948da6f |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab498bb0819080e3afb684b504b6 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.