Triple

T8751610
Position Surface form Disambiguated ID Type / Status
Subject Massa E207971 entity
Predicate governedBy P46 FINISHED
Object Comune di Massa
Comune di Massa is the municipal government and administrative body responsible for managing public services, local policies, and civic administration in the city of Massa, Italy.
 E755384 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 Massa | Statement: [Massa, governedBy, Comune di Massa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Comune di Massa
Context triple: [Massa, governedBy, Comune di Massa]
  • A. Comune di Pisa
    Comune di Pisa is the municipal government authority of the historic Italian city of Pisa in Tuscany.
  • B. Comune di Prato
    Comune di Prato is the municipal government authority responsible for administering the city of Prato in Tuscany, Italy.
  • C. Comune di Siena
    Comune di Siena is the municipal government authority responsible for administering the city of Siena in Tuscany, Italy.
  • D. Comune di Parma
    Comune di Parma is the municipal government and administrative body responsible for managing the city of Parma in northern Italy.
  • E. Comune di Pesaro
    Comune di Pesaro is the municipal government authority responsible for administering the city of Pesaro in 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 Massa
Triple: [Massa, governedBy, Comune di Massa]
Generated description
Comune di Massa is the municipal government and administrative body responsible for managing public services, local policies, and civic administration in the city of Massa, Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Comune di Massa
Target entity description: Comune di Massa is the municipal government and administrative body responsible for managing public services, local policies, and civic administration in the city of Massa, 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 Prato
    Comune di Prato is the municipal government authority responsible for administering the city of Prato in Tuscany, Italy.
  • C. Comune di Siena
    Comune di Siena is the municipal government authority responsible for administering the city of Siena in Tuscany, Italy.
  • D. Comune di Parma
    Comune di Parma is the municipal government and administrative body responsible for managing the city of Parma in northern Italy.
  • E. Comune di Pesaro
    Comune di Pesaro is the municipal government authority responsible for administering the city of Pesaro in 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da774f4819099e5bfd12973d946 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4326d8cc8190900f5f91da6ef6c8 completed April 3, 2026, 4:33 a.m.
NEDg Description generation batch_69cf4462da648190a621397fa88dd4bd completed April 3, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_69cf454c4d248190a925b15c23af1a24 completed April 3, 2026, 4:42 a.m.
Created at: March 30, 2026, 6:39 p.m.