Triple
T32017636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron MacRobert |
E817588
|
entity |
| Predicate | hasHeraldicType |
P110465
|
FINISHED |
| Object | barony |
—
|
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: barony | Statement: [Baron MacRobert, hasHeraldicType, barony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeraldicType Context triple: [Baron MacRobert, hasHeraldicType, barony]
-
A.
hasHeraldryType
chosen
Indicates that an entity is associated with a specific category or style of heraldry (such as a type of coat of arms or emblem).
-
B.
hasHeraldicRole
Indicates that an entity holds or is assigned a specific role or function within a heraldic context (such as in coats of arms, armorial bearings, or heraldic ceremonies).
-
C.
hasHeraldicOrdinary
Indicates that an entity bears or includes a specific heraldic ordinary (a basic geometric figure) as part of its coat of arms or heraldic design.
-
D.
hasHeraldicSubject
Indicates that one entity serves as the heraldic subject or emblematic figure depicted on another entity, such as on a coat of arms or shield.
-
E.
hasHeraldicOrientation
Indicates the directional or positional orientation of a heraldic element within a coat of arms or similar heraldic 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_69f348f9e5d081908cc3f57c4942af52 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: May 1, 2026, 12:16 a.m.