Triple
T13767261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castellanza |
E330779
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Legnano |
E329532
|
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: Legnano | Statement: [Castellanza, locatedNear, Legnano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Legnano Context triple: [Castellanza, locatedNear, Legnano]
-
A.
Legnano
chosen
Legnano is a town in the Lombardy region of northern Italy, historically known for its medieval Battle of Legnano and its industrial development.
-
B.
Cassano d’Adda
Cassano d’Adda is a town in the Lombardy region of northern Italy, situated along the Adda River northeast of Milan.
-
C.
Galbiate
Galbiate is a small Italian town in the Lombardy region, known for its scenic setting near Lake Annone and the foothills of the Alps.
-
D.
Saronno
Saronno is an Italian town in Lombardy known for its traditional amaretto liqueur and almond-flavored confections.
-
E.
Busto Arsizio
Busto Arsizio is an industrial city in the Lombardy region of northern Italy, known for its textile and manufacturing heritage and its location within the greater Milan metropolitan area.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0227f2c48190983ccc9395e4e7a2 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd323be8d48190b0b289f25de06fb1 |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 9, 2026, 10:10 p.m.