Triple
T8148174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 2 (Milan Malpensa Airport) |
E190265
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ferno |
E704591
|
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: Ferno | Statement: [Terminal 2 (Milan Malpensa Airport), locatedIn, Ferno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferno Context triple: [Terminal 2 (Milan Malpensa Airport), locatedIn, Ferno]
-
A.
Ferno
chosen
Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
-
B.
Ferro
Ferro is an alternative name for El Hierro, the smallest and westernmost of Spain’s Canary Islands in the Atlantic Ocean.
-
C.
Griante
Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
-
D.
Jenefar
Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
-
E.
Fiser
Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb447e74e081908df774edb2134209 |
completed | March 31, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbee697208190a1d9c98b2a4414bd |
completed | April 1, 2026, 6:44 a.m. |
Created at: March 30, 2026, 5:36 p.m.