Triple

T7544829
Position Surface form Disambiguated ID Type / Status
Subject Grosseto E178373 entity
Predicate governingBody P46 FINISHED
Object Comune di Grosseto
Comune di Grosseto is the municipal administrative authority responsible for governing the city of Grosseto in Tuscany, Italy.
 E672253 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 Grosseto | Statement: [Grosseto, governingBody, Comune di Grosseto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Comune di Grosseto
Context triple: [Grosseto, governingBody, Comune di Grosseto]
  • A. Comune di Siena
    Comune di Siena is the municipal government authority responsible for administering the city of Siena in Tuscany, Italy.
  • B. Comune di Arezzo
    Comune di Arezzo is the municipal government and administrative authority responsible for managing the city of Arezzo in Tuscany, Italy.
  • C. Comune di Volterra
    Comune di Volterra is the municipal government authority responsible for administering the historic Tuscan hill town of Volterra in central Italy.
  • D. Comune di Pisa
    Comune di Pisa is the municipal government authority of the historic Italian city of Pisa in Tuscany.
  • E. 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.
  • 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 Grosseto
Triple: [Grosseto, governingBody, Comune di Grosseto]
Generated description
Comune di Grosseto is the municipal administrative authority responsible for governing the city of Grosseto in Tuscany, Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Comune di Grosseto
Target entity description: Comune di Grosseto is the municipal administrative authority responsible for governing the city of Grosseto in Tuscany, Italy.
  • A. Comune di Siena
    Comune di Siena is the municipal government authority responsible for administering the city of Siena in Tuscany, Italy.
  • B. Comune di Arezzo
    Comune di Arezzo is the municipal government and administrative authority responsible for managing the city of Arezzo in Tuscany, Italy.
  • C. Comune di Volterra
    Comune di Volterra is the municipal government authority responsible for administering the historic Tuscan hill town of Volterra in central Italy.
  • D. Comune di Pisa
    Comune di Pisa is the municipal government authority of the historic Italian city of Pisa in Tuscany.
  • E. 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.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f898069881909fa8f9c885c4565b completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f21aa5c819085e8d1ecbd9b01e3 completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c852da8c048190b2a0696f2e7b65c1 completed March 28, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69c853958b748190b4ecc9797389cc85 completed March 28, 2026, 10:17 p.m.
Created at: March 27, 2026, 3:48 p.m.