Triple

T15240777
Position Surface form Disambiguated ID Type / Status
Subject Lucca E364247 entity
Predicate governedBy P46 FINISHED
Object Comune di Lucca
Comune di Lucca is the municipal government authority responsible for administering the historic Tuscan city of Lucca in central Italy.
 E1145039 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 Lucca | Statement: [Lucca, governedBy, Comune di Lucca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Comune di Lucca
Context triple: [Lucca, governedBy, Comune di Lucca]
  • A. Comune di Livorno
    Comune di Livorno is the municipal government of the Italian port city of Livorno in Tuscany, responsible for local administration, services, and cultural heritage.
  • B. Comune di Pisa
    Comune di Pisa is the municipal government authority of the historic Italian city of Pisa in Tuscany.
  • C. Comune di Firenze
    Comune di Firenze is the municipal government of the city of Florence, responsible for its local administration, public services, and cultural heritage.
  • D. Comune di Prato
    Comune di Prato is the municipal government authority responsible for administering the city of Prato in Tuscany, Italy.
  • E. Comune di San Gimignano
    Comune di San Gimignano is the municipal government responsible for administering the historic Tuscan town of San Gimignano 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 Lucca
Triple: [Lucca, governedBy, Comune di Lucca]
Generated description
Comune di Lucca is the municipal government authority responsible for administering the historic Tuscan city of Lucca in central Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Comune di Lucca
Target entity description: Comune di Lucca is the municipal government authority responsible for administering the historic Tuscan city of Lucca in central Italy.
  • A. Comune di Livorno
    Comune di Livorno is the municipal government of the Italian port city of Livorno in Tuscany, responsible for local administration, services, and cultural heritage.
  • B. Comune di Pisa
    Comune di Pisa is the municipal government authority of the historic Italian city of Pisa in Tuscany.
  • C. Comune di Firenze
    Comune di Firenze is the municipal government of the city of Florence, responsible for its local administration, public services, and cultural heritage.
  • D. Comune di Prato
    Comune di Prato is the municipal government authority responsible for administering the city of Prato in Tuscany, Italy.
  • E. Comune di San Gimignano
    Comune di San Gimignano is the municipal government responsible for administering the historic Tuscan town of San Gimignano 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007db9a148190aadea8d5f8b6b261 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd41b7c48190917385c6c61370b2 completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedf49f1c88190857cb1555e98c97e completed May 9, 2026, 7:16 a.m.
NED2 Entity disambiguation (via description) batch_69fee06a90448190b7733aa5ee8a5d62 completed May 9, 2026, 7:21 a.m.
Created at: April 10, 2026, 3:13 a.m.