Triple
T29422532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arms of the Grand Duchy of Finland |
E746191
|
entity |
| Predicate | lionPosture |
P24013
|
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: [arms of the Grand Duchy of Finland, lionPosture, rampant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lionPosture Context triple: [arms of the Grand Duchy of Finland, lionPosture, rampant]
-
A.
lionAttitude
chosen
Indicates the nature or disposition of a lion toward another entity or situation.
-
B.
lionPosition
Indicates the spatial location or placement of a lion relative to a reference frame or environment.
-
C.
roostingPosture
Indicates the specific body position or stance an animal assumes while resting or sleeping on a perch or roost.
-
D.
lionAttribute
Indicates that one entity has an attribute, property, or characteristic related to a lion in relation to another entity.
-
E.
lionArmedAndLangued
Indicates that a lion is depicted with its claws and tongue emphasized, typically by being shown and colored distinctly.
- 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_69f0a79f6d5c8190a350baed0157e06f |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66a6aa3d08190887bfa4eed48faeb |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:06 p.m.