Triple
T3894120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Luxembourg |
E88129
|
entity |
| Predicate | lionAttributes |
P3719
|
FINISHED |
| Object | crowned |
—
|
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: crowned | Statement: [Coat of arms of Luxembourg, lionAttributes, crowned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lionAttributes Context triple: [Coat of arms of Luxembourg, lionAttributes, crowned]
-
A.
lionAttitude
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.
lionOrigin
Indicates that one entity is the geographical or contextual origin of a lion or group of lions.
-
D.
lionArmedAndLangued
chosen
Indicates that a lion is depicted with its claws and tongue emphasized, typically by being shown and colored distinctly.
-
E.
animalProtagonist
Indicates that the main character or central figure in a narrative is an animal.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75b5b808190a348a31b1325d3d0 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.