Triple
T1012020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Arms of the Kingdom of Scotland |
E21843
|
entity |
| Predicate | lionPosition |
P23241
|
FINISHED |
| Object | rampant |
—
|
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: rampant | Statement: [Royal Arms of the Kingdom of Scotland, lionPosition, rampant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lionPosition Context triple: [Royal Arms of the Kingdom of Scotland, lionPosition, rampant]
-
A.
lionArmedAndLangued
Indicates that a lion is depicted with its claws and tongue emphasized, typically by being shown and colored distinctly.
-
B.
preysOn
Indicates that one entity hunts, kills, and consumes another entity as a food source.
-
C.
lionSupporterRepresents
Indicates that an entity serves as a representative or advocate for a lion supporter, acting on their behalf or symbolizing their interests.
-
D.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
-
E.
isSoughtBy
Indicates that one entity is actively being searched for, pursued, or desired by another entity.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7be907c8190b5c6ea89257755a7 |
completed | March 1, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69a4b72207c08190a3dbb2aa7acbbc71 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7bd3d50819091e6f1d2ffe4c7ee |
completed | March 1, 2026, 10:03 p.m. |
Created at: March 1, 2026, 7:41 p.m.