Triple

T9640707
Position Surface form Disambiguated ID Type / Status
Subject Province of Pistoia E233056 entity
Predicate contains P35 FINISHED
Object Lamporecchio
Lamporecchio is a Tuscan town in central Italy known for its historic center, rural landscapes, and traditional pastries such as brigidini.
 E812644 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: Lamporecchio | Statement: [Province of Pistoia, contains, Lamporecchio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lamporecchio
Context triple: [Province of Pistoia, contains, Lamporecchio]
  • A. Brisighella
    Brisighella is a historic medieval hill town in Italy’s Emilia-Romagna region, known for its picturesque three hills, ancient fortifications, and thermal springs.
  • B. Bocenago
    Bocenago is a small municipality in northern Italy’s Trentino region, situated within the alpine Val Rendena.
  • C. Nigoglia
    Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
  • D. Gambettola
    Gambettola is a small town and comune in Italy’s Emilia-Romagna region, known for its traditional carnival floats and craftsmanship.
  • E. Poggio
    Poggio is a small village on the Italian island of Elba, known for its scenic hillside setting near Monte Capanne.
  • 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: Lamporecchio
Triple: [Province of Pistoia, contains, Lamporecchio]
Generated description
Lamporecchio is a Tuscan town in central Italy known for its historic center, rural landscapes, and traditional pastries such as brigidini.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lamporecchio
Target entity description: Lamporecchio is a Tuscan town in central Italy known for its historic center, rural landscapes, and traditional pastries such as brigidini.
  • A. Brisighella
    Brisighella is a historic medieval hill town in Italy’s Emilia-Romagna region, known for its picturesque three hills, ancient fortifications, and thermal springs.
  • B. Bocenago
    Bocenago is a small municipality in northern Italy’s Trentino region, situated within the alpine Val Rendena.
  • C. Nigoglia
    Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
  • D. Gambettola
    Gambettola is a small town and comune in Italy’s Emilia-Romagna region, known for its traditional carnival floats and craftsmanship.
  • E. Poggio
    Poggio is a small village on the Italian island of Elba, known for its scenic hillside setting near Monte Capanne.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b552a1c81909a1fab347110eeb1 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18248ffe4819095d4ea20951eca01 completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d1864bd0b881908806762ce9df3029 completed April 4, 2026, 9:44 p.m.
NED2 Entity disambiguation (via description) batch_69d186d03eac8190a1080d5c25f4643c completed April 4, 2026, 9:46 p.m.
Created at: March 30, 2026, 8:12 p.m.