Triple

T5895992
Position Surface form Disambiguated ID Type / Status
Subject courts of appeal of Italy E131101 entity
Predicate hasSeatIn P3522 FINISHED
Object Catanzaro E309049 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: Catanzaro | Statement: [courts of appeal of Italy, hasSeatIn, Catanzaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catanzaro
Context triple: [courts of appeal of Italy, hasSeatIn, Catanzaro]
  • A. Catanzaro chosen
    Catanzaro is a city in southern Italy known as an administrative and cultural center overlooking the Ionian Sea.
  • B. Cosenza
    Cosenza is a historic city in southern Italy known for its medieval old town, cultural heritage, and role as an important provincial and university center.
  • C. Reggio Calabria
    Reggio Calabria is a historic coastal city in the Calabria region, known as the largest urban center at the tip of Italy’s “boot” facing Sicily across the Strait of Messina.
  • D. Trani
    Trani is a historic coastal city in the Apulia region of southern Italy, known for its medieval architecture and picturesque harbor on the Adriatic Sea.
  • E. Caltanissetta
    Caltanissetta is a historic inland city in central Sicily, Italy, known for its former sulfur mining industry and panoramic hilltop setting.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f4b56c8190aa52c9460eae8fbe completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c24396c8248190a54f9cf065649754 completed March 24, 2026, 7:56 a.m.
Created at: March 22, 2026, 3:58 p.m.