Triple
T11729884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Charles XIII |
E278869
|
entity |
| Predicate | collarWornOn |
P11705
|
FINISHED |
| Object | ceremonial occasions |
—
|
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: ceremonial occasions | Statement: [Order of Charles XIII, collarWornOn, ceremonial occasions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collarWornOn Context triple: [Order of Charles XIII, collarWornOn, ceremonial occasions]
-
A.
collarFeature
Indicates that one entity has a specific characteristic, detail, or attribute related to a collar.
-
B.
wornAround
chosen
Indicates that one entity is physically worn encircling or surrounding another entity (e.g., around a body part or object).
-
C.
supporterCollar
Indicates that one entity serves as a collar-like structural element that supports or stabilizes another entity.
-
D.
wearClassification
Indicates a classification relationship specifying the type or category of wear associated with an entity or interaction.
-
E.
neckCharacteristic
Indicates that an entity has a specific attribute, feature, or quality related to its neck.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d80ef881908cab956787ab07fd |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7f51248190bf492bd7509b5413 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.