Triple
T2549718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douglas tartan |
E56592
|
entity |
| Predicate | hasHeraldicRole |
P40770
|
FINISHED |
| Object | visual emblem of Clan Douglas |
—
|
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: visual emblem of Clan Douglas | Statement: [Douglas tartan, hasHeraldicRole, visual emblem of Clan Douglas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeraldicRole Context triple: [Douglas tartan, hasHeraldicRole, visual emblem of Clan Douglas]
-
A.
hasHeraldicAttitude
Indicates that an entity (typically an animal or figure in heraldry) is depicted with a specific standardized posture or stance in a coat of arms.
-
B.
hasHeraldicFamily
Indicates that an entity is associated with a particular heraldic family or lineage, typically sharing the same coat of arms or heraldic identity.
-
C.
governingHeraldicAuthority
Indicates the official heraldic body or authority that has jurisdiction over, regulates, or grants the heraldic item in question.
-
D.
heraldicTradition
Indicates a relationship where something belongs to, follows, or is characterized by a particular system or style of heraldic customs and practices.
-
E.
heraldicDivision
Indicates the way a heraldic shield or field is partitioned into distinct sections or areas.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0c8b6f08190a68645db3e8b779a |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd5a1cd508190a660b9a3c6b7cbcb |
completed | March 7, 2026, 7:37 a.m. |
Created at: March 6, 2026, 9:48 p.m.