Triple
T24895796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Member of the Order of Military Merit |
E623134
|
entity |
| Predicate | insigniaObverseFeature |
P8603
|
FINISHED |
| Object | Royal Crown |
—
|
NE NERFINISHED |
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: Royal Crown | Statement: [Member of the Order of Military Merit, insigniaObverseFeature, Royal Crown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: insigniaObverseFeature Context triple: [Member of the Order of Military Merit, insigniaObverseFeature, Royal Crown]
-
A.
insigniaDesignFeature
Indicates a design element or characteristic that forms part of an insignia.
-
B.
obverseDepiction
chosen
Indicates that one entity is depicted on the obverse (front) side of another, such as the front face of a coin or medal.
-
C.
insigniaCaption
Indicates the text that serves as a caption or explanatory label specifically for an insignia.
-
D.
insigniaName
Indicates the specific name or designation assigned to an insignia associated with an entity.
-
E.
badgeObverseDesign
Indicates the design or imagery that appears on the front (obverse) side of a badge.
- 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:26 a.m.