Triple
T10333322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Orange-Nassau (Commandeur grade) |
E242931
|
entity |
| Predicate | starWornBy |
P9510
|
FINISHED |
| Object | recipient on the left breast |
—
|
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: recipient on the left breast | Statement: [Order of Orange-Nassau (Commandeur grade), starWornBy, recipient on the left breast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starWornBy Context triple: [Order of Orange-Nassau (Commandeur grade), starWornBy, recipient on the left breast]
-
A.
starIs
Indicates that one entity is identified or classified as a star in relation to another entity or context.
-
B.
hasStarOn
Indicates that one entity bears or displays a star symbol positioned on another entity.
-
C.
starKnownAs
Indicates that a particular star is referred to or identified by a specific name or designation.
-
D.
starSign
Indicates the astrological zodiac sign associated with a person or entity based on their birth date.
-
E.
hasInsigniaWornBy
chosen
Indicates that a particular insignia is worn by a specified entity (such as a person, group, or organization).
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:53 a.m.