Triple

T15382212
Position Surface form Disambiguated ID Type / Status
Subject Milan Metro Line 2 E367831 entity
Predicate hasTerminus P388 FINISHED
Object Gessate
Gessate is a municipality in the Metropolitan City of Milan, Lombardy, Italy, known for serving as a terminus of Milan Metro Line 2.
 E1153810 NE FINISHED

How this triple was built (4 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: Gessate | Statement: [Milan Metro Line 2, hasTerminus, Gessate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gessate
Context triple: [Milan Metro Line 2, hasTerminus, Gessate]
  • A. Empedrado
    Empedrado is a Chilean wine-producing subregion within the Maule Valley, noted for its cool climate and distinctive terroir that supports high-quality grape cultivation.
  • B. Gasselte
    Gasselte is a village in the Dutch province of Drenthe, known for its surrounding forests, heathlands, and recreational lakes.
  • C. Lehmen
    Lehmen is a small municipality in western Germany’s Rhineland-Palatinate region, situated along the Moselle River and known for its winegrowing landscape.
  • D. Gazzo
    Gazzo is an Italian surname most notably associated with American playwright and actor Michael V. Gazzo.
  • E. Taliedo
    Taliedo is a district in Milan, Italy, historically known for its aviation industry and the Caproni aircraft manufacturing facilities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gessate
Triple: [Milan Metro Line 2, hasTerminus, Gessate]
Generated description
Gessate is a municipality in the Metropolitan City of Milan, Lombardy, Italy, known for serving as a terminus of Milan Metro Line 2.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gessate
Target entity description: Gessate is a municipality in the Metropolitan City of Milan, Lombardy, Italy, known for serving as a terminus of Milan Metro Line 2.
  • A. Empedrado
    Empedrado is a Chilean wine-producing subregion within the Maule Valley, noted for its cool climate and distinctive terroir that supports high-quality grape cultivation.
  • B. Gasselte
    Gasselte is a village in the Dutch province of Drenthe, known for its surrounding forests, heathlands, and recreational lakes.
  • C. Lehmen
    Lehmen is a small municipality in western Germany’s Rhineland-Palatinate region, situated along the Moselle River and known for its winegrowing landscape.
  • D. Gazzo
    Gazzo is an Italian surname most notably associated with American playwright and actor Michael V. Gazzo.
  • E. Taliedo
    Taliedo is a district in Milan, Italy, historically known for its aviation industry and the Caproni aircraft manufacturing facilities.
  • F. None of above. chosen

Provenance (5 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e61928c81908852c355d537ed9c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b5bc43c81908ffdb7819e3660d9 completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0c1171d4819099e0d0e1411059b2 completed May 9, 2026, 10:27 a.m.
NED2 Entity disambiguation (via description) batch_69ff10a360f8819098c8c9700b062478 completed May 9, 2026, 10:46 a.m.
Created at: April 10, 2026, 3:19 a.m.