Triple
T216482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pauling electronegativity scale |
E4115
|
entity |
| Predicate | originalFluorineValue |
P7345
|
FINISHED |
| Object | 4.0 |
—
|
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: 4.0 | Statement: [Pauling electronegativity scale, originalFluorineValue, 4.0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalFluorineValue Context triple: [Pauling electronegativity scale, originalFluorineValue, 4.0]
-
A.
value
chosen
Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
-
B.
originalFunction
Indicates that one entity serves as the initial or primary function from which another function or behavior is derived or defined.
-
C.
fixesNitrogen
Indicates that the subject converts atmospheric nitrogen into biologically usable forms through nitrogen fixation.
-
D.
originalForm
Indicates that one entity is the earlier, source, or initial version from which another entity is derived or transformed.
-
E.
fractionHydrogenByMass
Indicates the proportion of an entity’s total mass that is contributed by hydrogen.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25dcd2b208190855d5d8d70a3acfc |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b52190481908f299d26122bafd2 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.