Triple
T1715881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgil |
E37288
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | Cremona |
E126825
|
NE 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: Cremona | Statement: [Virgil, educatedAt, Cremona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cremona Context triple: [Virgil, educatedAt, Cremona]
-
A.
Cremona
chosen
Cremona is a historic city in northern Italy renowned for its tradition of violin making and its well-preserved medieval architecture.
-
B.
Bergamo
Bergamo is a historic city in northern Italy known for its medieval walled upper town, rich artistic heritage, and strategic location at the foothills of the Alps.
-
C.
Brescia
Brescia is a historic industrial and cultural city in northern Italy, known for its Roman and medieval architecture and its role as an economic hub.
-
D.
Pavia
Pavia is a historic city in northern Italy, known for its ancient university, medieval architecture, and significant role in Lombardy’s cultural and academic life.
-
E.
Mantua
Mantua is a small Cuban town and municipality located in the western part of Pinar del Río Province.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6334cd20819086aed7b8adcba4d9 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa035474881908e283cd1af65beea |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 4, 2026, 7:30 p.m.