Triple
T12644783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clan MacQuarrie |
E301993
|
entity |
| Predicate | clanBadgeType |
P92259
|
FINISHED |
| Object | heraldic crest badge |
—
|
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: heraldic crest badge | Statement: [Clan MacQuarrie, clanBadgeType, heraldic crest badge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clanBadgeType Context triple: [Clan MacQuarrie, clanBadgeType, heraldic crest badge]
-
A.
clanCrestAssociatedWith
chosen
Indicates that a particular clan crest is symbolically or traditionally linked to a specific clan or family.
-
B.
coatOfArmsType
Indicates the specific kind or category of coat of arms associated with an entity.
-
C.
typeOfEmblem
Indicates that one emblem is a specific kind or category of emblem in relation to another.
-
D.
clanType
Indicates the specific category or classification of a clan within a broader clan system or hierarchy.
-
E.
protectiveEmblemName
Indicates that a given name is the designated title or label of a protective emblem associated with an entity or context.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960b47130819097e1162ed4fc993a |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:17 p.m.