Triple

T9910413
Position Surface form Disambiguated ID Type / Status
Subject US Città di Palermo E185126 entity
Predicate nickname P55 FINISHED
Object Rosanero E185124 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: Rosanero | Statement: [US Città di Palermo, nickname, Rosanero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosanero
Context triple: [US Città di Palermo, nickname, Rosanero]
  • A. Rosanero chosen
    Rosanero is the traditional nickname of Italian football club Palermo FC, referring to the club’s distinctive pink-and-black colors.
  • B. La Rossa
    La Rossa is a well-known nickname for the Italian city of Bologna, reflecting its distinctive red-hued architecture and historical left-wing political leanings.
  • C. Caravela
    Caravela is an island in Guinea-Bissau’s Bijagós Archipelago, known for its remote, sparsely populated character and rich coastal ecosystems.
  • D. Doria
    Doria is an influential Genoese noble family historically prominent in maritime, political, and military affairs of the Republic of Genoa.
  • E. Palmesana
    Palmesana is the term used to refer to a female inhabitant or native of Palma de Mallorca, a city on the Spanish island of Mallorca.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb512a26881908eb72a21ffb1efef completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dbfa89881909ea6bbcfcf6fc08f completed April 5, 2026, 7:22 a.m.
Created at: March 30, 2026, 8:41 p.m.