Triple
T1065491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Coat of Arms of Norway |
E23200
|
entity |
| Predicate | tinctureOfAxe |
P24269
|
FINISHED |
| Object | argent |
—
|
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: argent | Statement: [Royal Coat of Arms of Norway, tinctureOfAxe, argent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tinctureOfAxe Context triple: [Royal Coat of Arms of Norway, tinctureOfAxe, argent]
-
A.
usedAgainst
Indicates that one entity is employed, applied, or deployed in opposition to, or for the purpose of affecting, another entity.
-
B.
hasTrench
Indicates that one entity possesses, contains, or is characterized by a trench associated with it.
-
C.
typicalWeapon
Indicates that the object is a weapon commonly or characteristically used by the subject.
-
D.
lastRemnantOf
Indicates that one entity is the sole remaining instance or surviving part of another entity, after all similar or related instances have disappeared.
-
E.
antagonistOf
Indicates a relationship where one entity actively opposes, conflicts with, or serves as an adversary to another.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b9e1047481909af1cf8df2a01fff |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b736f1e881909bace735b38c0ade |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b9df0a308190a0d87dcd8afe58bc |
completed | March 1, 2026, 10:12 p.m. |
Created at: March 1, 2026, 7:42 p.m.