Triple

T15382221
Position Surface form Disambiguated ID Type / Status
Subject Milan Metro Line 2 E367831 entity
Predicate hasStation P35 FINISHED
Object Piola
Piola is a station on Milan's Metro system, serving the eastern part of the city near the Politecnico di Milano.
 E1153816 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: Piola | Statement: [Milan Metro Line 2, hasStation, Piola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Piola
Context triple: [Milan Metro Line 2, hasStation, Piola]
  • A. Piermarini
    Piermarini is an Italian surname most notably associated with Giuseppe Piermarini, an 18th-century architect renowned for designing Milan’s Teatro alla Scala.
  • B. Padoe
    Padoe is an Austronesian language spoken by the Padoe people in Sulawesi, Indonesia.
  • C. Piaggi
    Piaggi is the surname of Italo Ángel Piaggi, an Argentine military officer known for his role in the Falklands War.
  • D. Fuselli
    Fuselli is a central fictional character in the World War I novel "Active Service" by Stephen Crane, representing the experiences and attitudes of an ordinary soldier.
  • E. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • 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: Piola
Triple: [Milan Metro Line 2, hasStation, Piola]
Generated description
Piola is a station on Milan's Metro system, serving the eastern part of the city near the Politecnico di Milano.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Piola
Target entity description: Piola is a station on Milan's Metro system, serving the eastern part of the city near the Politecnico di Milano.
  • A. Piermarini
    Piermarini is an Italian surname most notably associated with Giuseppe Piermarini, an 18th-century architect renowned for designing Milan’s Teatro alla Scala.
  • B. Padoe
    Padoe is an Austronesian language spoken by the Padoe people in Sulawesi, Indonesia.
  • C. Piaggi
    Piaggi is the surname of Italo Ángel Piaggi, an Argentine military officer known for his role in the Falklands War.
  • D. Fuselli
    Fuselli is a central fictional character in the World War I novel "Active Service" by Stephen Crane, representing the experiences and attitudes of an ordinary soldier.
  • E. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • 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.