Triple

T15558641
Position Surface form Disambiguated ID Type / Status
Subject Roberto Mancini E370936 entity
Predicate placeOfBirth P1 FINISHED
Object Jesi E236618 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: Jesi | Statement: [Roberto Mancini, placeOfBirth, Jesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jesi
Context triple: [Roberto Mancini, placeOfBirth, Jesi]
  • A. Jesi chosen
    Jesi is a historic town in Italy’s Marche region, known as the birthplace of Holy Roman Emperor Frederick II and for its well-preserved medieval architecture.
  • B. Jastarnia
    Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
  • C. Jaru
    Jaru is a municipality in the Brazilian state of Rondônia, located in the northern region of the country within the Amazon basin.
  • D. Olecko
    Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
  • E. Jauru
    Jauru is an alternative name for the Yawuru, an Aboriginal Australian people traditionally associated with the Broome region of Western Australia.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dda3ab88190ab383333ce69fe8f completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456635588190a2473bcff3ae4a53 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:09 a.m.