Triple
T7386075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jersey coat of arms |
E170382
|
entity |
| Predicate | heraldicAttitudeOfLions |
P37998
|
FINISHED |
| Object | passant guardant |
—
|
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: passant guardant | Statement: [Jersey coat of arms, heraldicAttitudeOfLions, passant guardant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heraldicAttitudeOfLions Context triple: [Jersey coat of arms, heraldicAttitudeOfLions, passant guardant]
-
A.
hasHeraldicAttitude
chosen
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.
heraldicCharge
Indicates that one entity serves as a heraldic charge, i.e., a symbolic figure or emblem placed on another entity’s coat of arms or shield.
-
C.
lionAttitude
Indicates the nature or disposition of a lion toward another entity or situation.
-
D.
heraldicStatus
Indicates the formal standing or classification of an entity within a heraldic system, such as its rank, legitimacy, or official recognition in heraldry.
-
E.
lionAttribute
Indicates that one entity has an attribute, property, or characteristic related to a lion in relation to another 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f117ec8190a97cbd0b35d5811a |
completed | March 27, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_69c6f0309cc88190b55d278969400294 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:08 p.m.