Triple
T69365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Northesk |
E1386
|
entity |
| Predicate | hasHeraldicElement |
P1663
|
FINISHED |
| Object | coat of arms of the Carnegie family |
—
|
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: coat of arms of the Carnegie family | Statement: [Earl of Northesk, hasHeraldicElement, coat of arms of the Carnegie family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeraldicElement Context triple: [Earl of Northesk, hasHeraldicElement, coat of arms of the Carnegie family]
-
A.
hasHeraldicFamily
Indicates that an entity is associated with a particular heraldic family or lineage, typically sharing the same coat of arms or heraldic identity.
-
B.
coatOfArmsFeatures
Indicates that a coat of arms includes or displays specific symbols, colors, or design elements as part of its heraldic composition.
-
C.
coatOfArms
chosen
Indicates that one entity serves as the heraldic emblem or coat of arms representing another entity.
-
D.
hasTypeOfInsignia
Indicates that an entity bears or is associated with a specific kind or category of insignia.
-
E.
isNonMilitaryDecoration
Indicates that an honor or award is a decoration that is not associated with military service or military institutions.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24fd16c248190a6ee4cd96c388772 |
completed | Feb. 28, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69a24eaa0df88190add55579b2b9fd02 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.