Triple
T12697330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countess of Dumbarton |
E303368
|
entity |
| Predicate | creationOccasion |
P106398
|
FINISHED |
| Object | royal wedding 2018 |
—
|
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: royal wedding 2018 | Statement: [Countess of Dumbarton, creationOccasion, royal wedding 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creationOccasion Context triple: [Countess of Dumbarton, creationOccasion, royal wedding 2018]
-
A.
giftOccasion
Indicates that a gift is given in connection with, or to celebrate, a particular occasion or event.
-
B.
entryOccasion
Indicates the circumstance, event, or reason that prompts or justifies an entity’s entry or initiation.
-
C.
occasionType
Indicates the specific kind or category of occasion or event associated with the subject.
-
D.
targetOccasion
Indicates the specific event, situation, or occasion toward which an action, plan, or intention is directed.
-
E.
openingOccasion
Indicates the event, circumstance, or occasion during which an opening (such as a launch, inauguration, or start) takes place.
- F. None of above. chosen
Provenance (4 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d962a32c6481908ddaddae4ea267bf |
completed | April 10, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69d960be63f081908a5ef5ef17a311bf |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d96297b81c819081ad1432dc5f15f4 |
completed | April 10, 2026, 8:50 p.m. |
Created at: April 9, 2026, 5:22 p.m.