Triple

T15429106
Position Surface form Disambiguated ID Type / Status
Subject Milan Metro Line 3 E369587 entity
Predicate station P726 FINISHED
Object Porto di Mare
Porto di Mare is a Milan Metro station on Line 3 serving the southeastern area of the city.
E1156285 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: Porto di Mare | Statement: [Milan Metro Line 3, station, Porto di Mare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porto di Mare
Context triple: [Milan Metro Line 3, station, Porto di Mare]
  • A. Porto Conte
    Porto Conte is a scenic natural bay and protected area on the northwest coast of Sardinia, Italy, known for its rugged coastline, clear waters, and rich marine and coastal wildlife.
  • B. Porto Cervo
    Porto Cervo is an exclusive luxury seaside resort and marina on Sardinia’s Costa Smeralda, renowned for its upscale tourism, yachting scene, and high-end boutiques.
  • C. Calasetta
    Calasetta is a coastal town on the Italian island of Sardinia known for its Ligurian cultural roots and use of the Tabarchino dialect.
  • D. Marina di Massa
    Marina di Massa is a seaside town and popular tourist resort on the Tuscan coast of northwestern Italy, known for its beaches and proximity to the Apuan Alps.
  • E. Piombino
    Piombino is a coastal town and port in Tuscany, Italy, serving as a major mainland gateway to the island of Elba and other Tyrrhenian destinations.
  • 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: Porto di Mare
Triple: [Milan Metro Line 3, station, Porto di Mare]
Generated description
Porto di Mare is a Milan Metro station on Line 3 serving the southeastern area of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Porto di Mare
Target entity description: Porto di Mare is a Milan Metro station on Line 3 serving the southeastern area of the city.
  • A. Porto Conte
    Porto Conte is a scenic natural bay and protected area on the northwest coast of Sardinia, Italy, known for its rugged coastline, clear waters, and rich marine and coastal wildlife.
  • B. Porto Cervo
    Porto Cervo is an exclusive luxury seaside resort and marina on Sardinia’s Costa Smeralda, renowned for its upscale tourism, yachting scene, and high-end boutiques.
  • C. Calasetta
    Calasetta is a coastal town on the Italian island of Sardinia known for its Ligurian cultural roots and use of the Tabarchino dialect.
  • D. Marina di Massa
    Marina di Massa is a seaside town and popular tourist resort on the Tuscan coast of northwestern Italy, known for its beaches and proximity to the Apuan Alps.
  • E. Piombino
    Piombino is a coastal town and port in Tuscany, Italy, serving as a major mainland gateway to the island of Elba and other Tyrrhenian destinations.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec31f4881908b26ff7c381d7bc9 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a827d9081909fabc48bc685ba5b completed May 9, 2026, 11:29 a.m.
NEDg Description generation batch_69ff1b4c13e08190b2ccee59da02d0ae completed May 9, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69ff1bdb39b481908f0b1df595837bc4 completed May 9, 2026, 11:34 a.m.
Created at: April 10, 2026, 3:21 a.m.