Triple

T2507884
Position Surface form Disambiguated ID Type / Status
Subject Province of Forlì-Cesena E52626 entity
Predicate contains P35 FINISHED
Object Modigliana
Modigliana is a small historic town in Italy’s Emilia-Romagna region, known for its medieval architecture and scenic Apennine surroundings.
 E272946 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: Modigliana | Statement: [Province of Forlì-Cesena, contains, Modigliana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Modigliana
Context triple: [Province of Forlì-Cesena, contains, Modigliana]
  • A. Ladispoli
    Ladispoli is a coastal town in the Lazio region of central Italy, known for its beaches along the Tyrrhenian Sea and proximity to Rome.
  • B. Melfi
    Melfi is a historic town in southern Italy known as an important medieval center of Norman rule and site of several papal councils.
  • C. Cagli
    Cagli is a historic town in Italy’s Marche region, known for its medieval architecture and scenic setting in the Apennine foothills.
  • D. Campani
    The Campani were an ancient Italic people of Campania in southern Italy, known for their prosperous cities and early interactions with both the Greeks and Romans.
  • E. Ostia
    Ostia was the principal harbor city of ancient Rome, serving as a major commercial and military port at the mouth of the Tiber River.
  • 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: Modigliana
Triple: [Province of Forlì-Cesena, contains, Modigliana]
Generated description
Modigliana is a small historic town in Italy’s Emilia-Romagna region, known for its medieval architecture and scenic Apennine surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Modigliana
Target entity description: Modigliana is a small historic town in Italy’s Emilia-Romagna region, known for its medieval architecture and scenic Apennine surroundings.
  • A. Ladispoli
    Ladispoli is a coastal town in the Lazio region of central Italy, known for its beaches along the Tyrrhenian Sea and proximity to Rome.
  • B. Melfi
    Melfi is a historic town in southern Italy known as an important medieval center of Norman rule and site of several papal councils.
  • C. Cagli
    Cagli is a historic town in Italy’s Marche region, known for its medieval architecture and scenic setting in the Apennine foothills.
  • D. Campani
    The Campani were an ancient Italic people of Campania in southern Italy, known for their prosperous cities and early interactions with both the Greeks and Romans.
  • E. Ostia
    Ostia was the principal harbor city of ancient Rome, serving as a major commercial and military port at the mouth of the Tiber River.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1eb3be481908fa7c6b8f1c78209 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1faa33148190a3ad6ece7432b81f completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af20aafd008190ad9fee7c154f8597 completed March 9, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_69af2193102c81908f5fe1c899cc1a85 completed March 9, 2026, 7:37 p.m.
Created at: March 6, 2026, 9:46 p.m.