Triple
T150434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garter Day |
E3417
|
entity |
| Predicate | ceremonialInsignia |
P1617
|
FINISHED |
| Object | Garter star |
—
|
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: Garter star | Statement: [Garter Day, ceremonialInsignia, Garter star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceremonialInsignia Context triple: [Garter Day, ceremonialInsignia, Garter star]
-
A.
ceremonialRole
Indicates that an entity holds a formal, often symbolic or honorific, position or function within a ceremony or ritual context.
-
B.
hasTypeOfInsignia
chosen
Indicates that an entity bears or is associated with a specific kind or category of insignia.
-
C.
coatOfArms
Indicates that one entity serves as the heraldic emblem or coat of arms representing another entity.
-
D.
isNonMilitaryDecoration
Indicates that an honor or award is a decoration that is not associated with military service or military institutions.
-
E.
flagBearer
Indicates that one entity serves as the carrier or holder of a flag on behalf of another entity, group, or cause.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2580dda148190a522e0ac276d5f33 |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a256599db08190a7b000b381d32ec4 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.