Triple
T15319569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bovisio-Masciago |
E366251
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Seveso |
E74711
|
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: Seveso | Statement: [Bovisio-Masciago, adjacentTo, Seveso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seveso Context triple: [Bovisio-Masciago, adjacentTo, Seveso]
-
A.
Seveso
chosen
Seveso is a small river in Lombardy, Italy, that flows through the northern part of the Milan metropolitan area and is known for its frequent flooding and heavy urbanization.
-
B.
Cortellazzo
Cortellazzo is an Italian locality whose name is associated with the noble title "Countess of Cortellazzo and Buccari."
-
C.
Montecatini Val di Cecina
Montecatini Val di Cecina is a small historic hill town in Tuscany, central Italy, known for its medieval architecture and former copper mining industry.
-
D.
Leuna chemical complex
The Leuna chemical complex is one of Germany’s largest and historically most significant industrial chemical sites, known for large-scale production of petrochemicals and other chemical products.
-
E.
Corsico
Corsico is a municipality in the Metropolitan City of Milan in northern Italy, known as a residential and industrial suburb of the city.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd356b881908f054b64eee6a371 |
completed | April 16, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b3dac6c81908eaa0aaad29113ee |
completed | May 9, 2026, 10:23 a.m. |
Created at: April 10, 2026, 3:16 a.m.