Triple
T16448626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trafoi |
E399495
|
entity |
| Predicate | Gustav Thöni |
P122831
|
FINISHED |
| Object | birthplaceOf |
—
|
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: birthplaceOf | Statement: [Trafoi, Gustav Thöni, birthplaceOf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Gustav Thöni Context triple: [Trafoi, Gustav Thöni, birthplaceOf]
-
A.
Cornelius Ennis
Indicates a relationship or association involving the entity or name “Cornelius Ennis,” such as authorship, attribution, or participation in an event or context.
-
B.
Félix Kir
Indicates a relationship where an entity is associated with or named after Félix Kir, typically signifying dedication, commemoration, or attribution to this person.
-
C.
Axel Merckx
Indicates a relationship or action involving Axel Merckx, typically as the subject or participant in the described event or connection.
-
D.
Joseph Alioto
Indicates a relationship or action involving the person named Joseph Alioto, such as authorship, participation, or association in a given context.
-
E.
John Thornton Kirkland
Indicates a naming relationship where the label or identifier "John Thornton Kirkland" is assigned to a specific individual.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdee44c8190ae0df20c58ff7558 |
completed | April 18, 2026, 7:03 a.m. |
| PD | Predicate disambiguation | batch_69e227048d608190a4205eae3117629a |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24556c1348190902a4d116c3137d9 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:10 a.m.