Triple
T216509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pauling electronegativity scale |
E4115
|
entity |
| Predicate | trendDownGroup |
P9720
|
FINISHED |
| Object | generally decreases down a group |
—
|
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: generally decreases down a group | Statement: [Pauling electronegativity scale, trendDownGroup, generally decreases down a group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trendDownGroup Context triple: [Pauling electronegativity scale, trendDownGroup, generally decreases down a group]
-
A.
hasTrend
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
-
B.
declineBeganInDecade
Indicates that the period of decline for an entity or phenomenon started during the specified decade.
-
C.
dropType
Indicates the manner or category of how something is dropped, released, or caused to fall.
-
D.
economicTrend
Indicates the general direction or pattern of economic activity or conditions over a period of time.
-
E.
decayMode
Indicates the specific process or pathway by which an unstable entity transforms or decays into other products.
- 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_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. |
| PDg | Predicate description generation | batch_69a25dcba5148190ab80fd14c7cf4bb4 |
completed | Feb. 28, 2026, 3:15 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.