Triple
T36938330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whirlwind |
E913675
|
entity |
| Predicate | hasElementalSymbolColor |
P18249
|
FINISHED |
| Object | light blue |
—
|
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: light blue | Statement: [Whirlwind, hasElementalSymbolColor, light blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElementalSymbolColor Context triple: [Whirlwind, hasElementalSymbolColor, light blue]
-
A.
hasChemicalSymbol
Indicates that one entity is the chemical symbol that denotes the chemical element represented by the other entity.
-
B.
hasColorSymbol
chosen
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
C.
hasEmblemColor
Indicates that an emblem possesses or is characterized by a specific color.
-
D.
hasLetterColor
Indicates that one entity (typically a letter or character) is associated with a specific color.
-
E.
chemicalElement
Indicates that one entity is a chemical element that constitutes, characterizes, or is otherwise fundamentally associated with the other 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:13 p.m.