Triple
T11017878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Cross with Collar of the Order of the White Rose of Finland |
E260408
|
entity |
| Predicate | hasInsigniaForm |
P1617
|
FINISHED |
| Object | collar chain worn around the neck |
—
|
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: collar chain worn around the neck | Statement: [Grand Cross with Collar of the Order of the White Rose of Finland, hasInsigniaForm, collar chain worn around the neck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInsigniaForm Context triple: [Grand Cross with Collar of the Order of the White Rose of Finland, hasInsigniaForm, collar chain worn around the neck]
-
A.
hasInsigniaComponent
Indicates that an entity includes, bears, or is composed of a particular insignia or emblem as one of its components.
-
B.
hasTypeOfInsignia
chosen
Indicates that an entity bears or is associated with a specific kind or category of insignia.
-
C.
hasInsigniaWornBy
Indicates that a particular insignia is worn by a specified entity (such as a person, group, or organization).
-
D.
insigniaName
Indicates the specific name or designation assigned to an insignia associated with an entity.
-
E.
hasBrandIdentityElement
Indicates that an entity includes or is associated with a specific component of its overall brand identity (such as a logo, color scheme, or tagline).
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a7f4a881908232f99d18d95149 |
completed | April 9, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69d72e995e008190bbffb314129ed0cd |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.