Triple
T7176695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Correggio |
E167336
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Correggio |
E167336
|
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: Correggio | Statement: [Correggio, workLocation, Correggio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Correggio Context triple: [Correggio, workLocation, Correggio]
-
A.
Correggio
chosen
Correggio was an Italian Renaissance painter renowned for his innovative use of illusionistic perspective, sensuality, and dynamic compositions that influenced later Baroque art.
-
B.
Faenza
Faenza is a historic city in Italy’s Emilia-Romagna region, renowned for its traditional ceramics and artistic majolica production.
-
C.
Cascia
Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
-
D.
Cremona
Cremona is a historic city in northern Italy renowned for its tradition of violin making and its well-preserved medieval architecture.
-
E.
Cotignola
Cotignola is a small Italian town in the Emilia-Romagna region, known for its historic center and agricultural surroundings.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e89022d48190a112c24df79ab62f |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b9281e808190ac2a8ad585a70ea0 |
completed | March 28, 2026, 11:19 a.m. |
Created at: March 27, 2026, 2:49 p.m.