Triple
T13817145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | thallium |
E332046
|
entity |
| Predicate | spectralLineColor |
P111611
|
FINISHED |
| Object | green |
—
|
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: green | Statement: [thallium, spectralLineColor, green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spectralLineColor Context triple: [thallium, spectralLineColor, green]
-
A.
colorLineContext
Indicates a relationship where the color of a line is determined or interpreted based on its surrounding contextual information or environment.
-
B.
networkColorOfLine
Indicates the color assigned to a specific line within a network (such as a transit or communication network).
-
C.
isColorCodedLine
Indicates that a line is represented or distinguished using specific colors according to a coding scheme.
-
D.
mapColorLine
Indicates a relationship where a specific color is assigned to or associated with a particular line (such as a route, path, or boundary) on a map.
-
E.
hasSpectralLines
Indicates that one entity exhibits or is characterized by specific spectral lines associated with another entity.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0281bb988190803ee195f430b9c8 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:12 p.m.