Triple
T216481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pauling electronegativity scale |
E4115
|
entity |
| Predicate | fluorineValue |
P7345
|
FINISHED |
| Object | 3.98 |
—
|
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: 3.98 | Statement: [Pauling electronegativity scale, fluorineValue, 3.98]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fluorineValue Context triple: [Pauling electronegativity scale, fluorineValue, 3.98]
-
A.
value
chosen
Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
-
B.
floatType
Indicates that an entity has a specific floating-point data type or is categorized as a floating-point numeric value.
-
C.
inForce
Indicates that a rule, law, agreement, or condition is currently valid, active, and being applied or enforced.
-
D.
fixesNitrogen
Indicates that the subject converts atmospheric nitrogen into biologically usable forms through nitrogen fixation.
-
E.
fueledBy
Indicates that one entity provides the energy or power source that enables the operation or functioning of another entity.
- 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.