Triple

T10035072
Position Surface form Disambiguated ID Type / Status
Subject Naviglio della Martesana E204944 entity
Predicate flowsThrough P225 FINISHED
Object Gorgonzola E802467 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: Gorgonzola | Statement: [Naviglio della Martesana, flowsThrough, Gorgonzola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gorgonzola
Context triple: [Naviglio della Martesana, flowsThrough, Gorgonzola]
  • A. Gorgonzola chosen
    Gorgonzola is a famous Italian blue cheese known for its creamy texture and distinctive sharp, tangy flavor.
  • B. Grana Padano
    Grana Padano is a hard, slow-ripened Italian cheese from the Po River Valley, known for its granular texture and savory, nutty flavor.
  • C. Parmigiano Reggiano
    Parmigiano Reggiano is a hard, aged Italian cheese from specific regions of Italy, renowned worldwide for its rich, nutty flavor and granular texture.
  • D. Roquefort
    Roquefort is a famous French blue cheese made from sheep's milk and aged in the natural caves of Roquefort-sur-Soulzon.
  • E. Blue Cheese
    "Blue Cheese" is a track by 2 Chainz from his album "Pretty Girls Like Trap Music," showcasing his signature trap style and lyrical flair.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce4a515c8190baec86d924623b12 completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28258ab088190a31ad5854d91193b completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.