Triple
T21733124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Secundus of Asti |
E536456
|
entity |
| Predicate | patronSaintOf |
P3865
|
FINISHED |
| Object | Asti |
—
|
NE NERFINISHED |
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: Asti | Statement: [Saint Secundus of Asti, patronSaintOf, Asti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asti Context triple: [Saint Secundus of Asti, patronSaintOf, Asti]
-
A.
Asti
chosen
Asti is a historic city in Italy’s Piedmont region, renowned for its sparkling wines, medieval architecture, and cultural traditions.
-
B.
Asti
Asti is a character in Hindu mythology known as one of the wives of the tyrant king Kamsa of Mathura.
-
C.
Ashti
Ashti is a town in the Wardha district of Maharashtra, India, known primarily as a local administrative and agricultural center.
-
D.
Anzi
Anzi is a rural commune and small town located in Tiznit Province in the Souss-Massa region of southern Morocco.
-
E.
Arsi
Arsi is a historical region in central Ethiopia, traditionally inhabited by Oromo people and known for its highlands and agricultural significance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd085eec81908b3df82bc25a8780 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:48 p.m.