Triple
T37361202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oranje |
E927583
|
entity |
| Predicate | originOfColor |
P53192
|
FINISHED |
| Object | House of Orange |
E990
|
NE 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: House of Orange | Statement: [Oranje, originOfColor, House of Orange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originOfColor Context triple: [Oranje, originOfColor, House of Orange]
-
A.
colorOrigin
chosen
Indicates the source or cause from which an entity’s color is derived or determined.
-
B.
originalColors
Indicates that something retains or is associated with its initial, unaltered set of colors.
-
C.
colorTheory
Indicates a relationship where principles or concepts about how colors interact, combine, or affect perception are applied or referenced between entities.
-
D.
ethnonymColorOrigin
Indicates that an ethnonym (a name for an ethnic group) is derived from or associated with a color term.
-
E.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
- F. None of above.
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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a406ce71e488190a4e0d40d4388f884 |
completed | June 28, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.