Triple
T17925344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayi Medal |
E448179
|
entity |
| Predicate | relatedToEventDate |
P830
|
FINISHED |
| Object | 1 August 1927 |
—
|
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: 1 August 1927 | Statement: [Bayi Medal, relatedToEventDate, 1 August 1927]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedToEventDate Context triple: [Bayi Medal, relatedToEventDate, 1 August 1927]
-
A.
dateOfRelatedEvent
chosen
Indicates that there is a specific date on which a related event associated with the subject occurs or occurred.
-
B.
relationshipToEvent
Indicates the specific way an entity is connected or related to a particular event.
-
C.
laterRelatedEvent
Indicates that one event is temporally related to another by occurring at a later time.
-
D.
isLinkedToEvent
Indicates that an entity has an association or connection with a specific event.
-
E.
calendarLinkedTo
Indicates that one calendar is connected or synchronized with another calendar or calendaring system so that events or updates can be shared or reflected between them.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a54e03588190b36a9bb88e4085de |
completed | April 19, 2026, 9:50 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:20 a.m.