Triple
T18736003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herrenberg |
E458163
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Fidenza |
—
|
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: Fidenza | Statement: [Herrenberg, twinTown, Fidenza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fidenza Context triple: [Herrenberg, twinTown, Fidenza]
-
A.
Fidenza
chosen
Fidenza is a town in the Emilia-Romagna region of northern Italy, known for its historic center and Romanesque cathedral.
-
B.
Ferentino
Ferentino is a historic hill town in the Lazio region of central Italy, known for its ancient Roman and medieval architecture.
-
C.
Falciano
Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
-
D.
Roscio
Roscio is a Venezuelan surname most notably associated with Juan Germán Roscio, a key intellectual and political figure in Venezuela’s independence movement.
-
E.
Donnalucata
Donnalucata is a seaside village in southern Sicily, Italy, known for its sandy beaches, fishing tradition, and role as a holiday destination on the Mediterranean coast.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7ae10081908bc6857d1d147eef |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.