Triple

T4701493
Position Surface form Disambiguated ID Type / Status
Subject Ferrari E104281 entity
Predicate hasFoundingLocation P55364 FINISHED
Object Maranello, Italy E460157 NE FINISHED

How this triple was built (3 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: Maranello, Italy | Statement: [Ferrari, hasFoundingLocation, Maranello, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maranello, Italy
Context triple: [Ferrari, hasFoundingLocation, Maranello, Italy]
  • A. Maranello, Italy chosen
    Maranello, Italy is a town in the Emilia-Romagna region best known as the home of the Ferrari automobile factory and museum.
  • B. Monza
    Monza is a historic city in northern Italy renowned for its royal villa and the Autodromo Nazionale Monza Formula One racing circuit.
  • C. Imola
    Imola is a historic city in Italy’s Emilia-Romagna region, best known for its Formula One racing circuit, the Autodromo Enzo e Dino Ferrari.
  • D. Montella, Italy
    Montella, Italy is a small town in the Campania region of southern Italy, known for its mountainous landscape and traditional chestnut production.
  • E. Calenzano, Italy
    Calenzano, Italy is a Tuscan municipality near Florence known for its medieval castle, historic hilltop village, and mix of industrial and residential areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFoundingLocation
Context triple: [Ferrari, hasFoundingLocation, Maranello, Italy]
  • A. placeFounded
    Indicates the location where an entity (such as an organization or institution) was originally established or founded.
  • B. foundingLocationOfFoundedOrganization chosen
    Indicates the place where an organization was originally established or founded.
  • C. foundedNear
    Indicates that one entity established or created another entity at a location geographically close to a specified reference entity or place.
  • D. headquartersFoundedAt
    Indicates that an organization's headquarters was originally established at a specific location.
  • E. isFoundedOn
    Indicates that one entity is established, created, or based upon another entity as its foundational source or principle.
  • F. None of above.

Provenance (4 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd650ad0f88190844bfcb46b3071c2 completed March 20, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1062fa8c81909263e6757ef7c2d5 completed March 21, 2026, 3:28 a.m.
PD Predicate disambiguation batch_69bd621ba7448190a53ab1e2897acf71 completed March 20, 2026, 3:04 p.m.
Created at: March 20, 2026, 1:17 p.m.