Triple
T11462738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piłsudski family |
E271700
|
entity |
| Predicate | coatOfArmsUser |
P1663
|
FINISHED |
| Object | Piłsudski coat of arms |
—
|
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: Piłsudski coat of arms | Statement: [Piłsudski family, coatOfArmsUser, Piłsudski coat of arms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coatOfArmsUser Context triple: [Piłsudski family, coatOfArmsUser, Piłsudski coat of arms]
-
A.
coatOfArms
chosen
Indicates that one entity serves as the heraldic emblem or coat of arms representing another entity.
-
B.
coatOfArmsCaption
Indicates the descriptive text that explains or labels the depicted coat of arms.
-
C.
coatOfArmsOnFlag
Indicates that a flag features or displays a particular coat of arms as part of its design.
-
D.
designerOfCoatOfArms
Indicates that one entity is the creator or designer responsible for the coat of arms associated with another entity.
-
E.
coatOfArmsType
Indicates the specific kind or category of coat of arms associated with an entity.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f488248190b9f603cd31c72174 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.