Triple
T3186684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Cordon of the Order of the Paulownia Flowers |
E66714
|
entity |
| Predicate | awardingOccasion |
P4842
|
FINISHED |
| Object | spring honors |
—
|
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: spring honors | Statement: [Grand Cordon of the Order of the Paulownia Flowers, awardingOccasion, spring honors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardingOccasion Context triple: [Grand Cordon of the Order of the Paulownia Flowers, awardingOccasion, spring honors]
-
A.
awardCeremonyOccasion
chosen
Indicates that an award ceremony is held on, or in connection with, a particular occasion or event.
-
B.
premiereOccasion
Indicates the event or context in which something (such as a work, show, or product) is first publicly presented or launched.
-
C.
servingOccasion
Indicates the occasion, event, or context during which something (typically food or drink) is served.
-
D.
announcementOccasion
Indicates the specific event, context, or circumstance on the basis of which an announcement is made.
-
E.
ceremonyType
Indicates the specific kind or category of ceremony associated with an event or relationship.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6c32ce88190a231be18d38ec5ba |
completed | March 8, 2026, 4:41 p.m. |
| PD | Predicate disambiguation | batch_69ad9e04290481909092ddfbe6fdaabc |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.