Triple

T7783563
Position Surface form Disambiguated ID Type / Status
Subject Pesaro E187184 entity
Predicate governedBy P46 FINISHED
Object Comune di Pesaro
Comune di Pesaro is the municipal government authority responsible for administering the city of Pesaro in Italy.
E693461 NE FINISHED

How this triple was built (4 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: Comune di Pesaro | Statement: [Pesaro, governedBy, Comune di Pesaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comune di Pesaro
Context triple: [Pesaro, governedBy, Comune di Pesaro]
  • A. Comune di Pisa
    Comune di Pisa is the municipal government authority of the historic Italian city of Pisa in Tuscany.
  • B. Comune di Parma
    Comune di Parma is the municipal government and administrative body responsible for managing the city of Parma in northern Italy.
  • C. Comune di Grosseto
    Comune di Grosseto is the municipal administrative authority responsible for governing the city of Grosseto in Tuscany, Italy.
  • D. Comune di Perugia
    Comune di Perugia is the municipal government and administrative jurisdiction of the city of Perugia, the historic capital of Italy’s Umbria region.
  • E. Comune di Arezzo
    Comune di Arezzo is the municipal government and administrative authority responsible for managing the city of Arezzo in Tuscany, Italy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Comune di Pesaro
Triple: [Pesaro, governedBy, Comune di Pesaro]
Generated description
Comune di Pesaro is the municipal government authority responsible for administering the city of Pesaro in Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Comune di Pesaro
Target entity description: Comune di Pesaro is the municipal government authority responsible for administering the city of Pesaro in Italy.
  • A. Comune di Pisa
    Comune di Pisa is the municipal government authority of the historic Italian city of Pisa in Tuscany.
  • B. Comune di Parma
    Comune di Parma is the municipal government and administrative body responsible for managing the city of Parma in northern Italy.
  • C. Comune di Grosseto
    Comune di Grosseto is the municipal administrative authority responsible for governing the city of Grosseto in Tuscany, Italy.
  • D. Comune di Perugia
    Comune di Perugia is the municipal government and administrative jurisdiction of the city of Perugia, the historic capital of Italy’s Umbria region.
  • E. Comune di Arezzo
    Comune di Arezzo is the municipal government and administrative authority responsible for managing the city of Arezzo in Tuscany, Italy.
  • F. None of above. chosen

Provenance (5 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cadf1f9c648190ac2b06d0d54035ea completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5e400d881909d6cdeb7eaac3a59 completed March 30, 2026, 10:15 p.m.
NEDg Description generation batch_69caf81ebde881909bd131da8987b449 completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69cafa013f348190a2067dee4a0c8c40 completed March 30, 2026, 10:32 p.m.
Created at: March 30, 2026, 4:22 p.m.