Triple

T15429088
Position Surface form Disambiguated ID Type / Status
Subject Milan Metro Line 3 E369587 entity
Predicate station P726 FINISHED
Object Comasina E1156275 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: Comasina | Statement: [Milan Metro Line 3, station, Comasina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comasina
Context triple: [Milan Metro Line 3, station, Comasina]
  • A. Comasina chosen
    Comasina is a station on Milan's Metro system that serves as the northern endpoint of Line 3 in the Comasina district of the city.
  • B. Segariu
    Segariu is a small municipality in southern Sardinia, Italy, known for its rural character and agricultural traditions.
  • C. Domaso
    Domaso is a picturesque lakeside town on the northern shore of Lake Como in Italy, known for its waterfront promenades, water sports, and scenic mountain backdrop.
  • D. Forlani
    Forlani is an Italian surname most notably associated with English actress Claire Forlani.
  • E. Delebio
    Delebio is a municipality in the Province of Sondrio in the Lombardy region of northern Italy, situated in the Valtellina area near Lake Como.
  • 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_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_69ff21a3d1f481908f6795656514b2b4 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.