Triple
T10707906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Nassau-Siegen |
E252453
|
entity |
| Predicate | heraldicColor |
P95589
|
FINISHED |
| Object | orange |
—
|
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: orange | Statement: [House of Nassau-Siegen, heraldicColor, orange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heraldicColor Context triple: [House of Nassau-Siegen, heraldicColor, orange]
-
A.
heraldicTinctureRed
Indicates that an entity in a heraldic context is colored or depicted with the red tincture (gules).
-
B.
turtleColorOnCoatOfArms
Indicates that a coat of arms features a turtle of a specified color as part of its heraldic design.
-
C.
coatOfArmsBackgroundColor
Indicates the background color used in a coat of arms design.
-
D.
heraldicName
Indicates the formal name or designation assigned to a heraldic element (such as a coat of arms, charge, or symbol) within a heraldic system.
-
E.
coatOfArms
Indicates that one entity serves as the heraldic emblem or coat of arms representing 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fde080d48190830eaa863aad61ff |
completed | April 9, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69d6f30455888190b77f476b8418eaee |
completed | April 9, 2026, 12:29 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:13 p.m.