Triple

T21297400
Position Surface form Disambiguated ID Type / Status
Subject Bologna–Pistoia railway E524959 entity
Predicate lineNumber P1864 FINISHED
Object Porrettana
Porrettana is the traditional name of the historic Bologna–Pistoia railway line that crosses the Apennines in northern Italy.
E1475814 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: Porrettana | Statement: [Bologna–Pistoia railway, lineNumber, Porrettana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porrettana
Context triple: [Bologna–Pistoia railway, lineNumber, Porrettana]
  • A. Savige
    Savige is an English-language surname most notably associated with Australian Lieutenant General Sir Stanley Savige, a distinguished military leader and humanitarian.
  • B. Parea
    Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
  • C. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • D. Moura
    Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
  • E. Moura
    Moura is a Portuguese-language surname commonly found in Brazil and other Lusophone countries, associated with various notable figures in arts, sports, and public life.
  • 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: Porrettana
Triple: [Bologna–Pistoia railway, lineNumber, Porrettana]
Generated description
Porrettana is the traditional name of the historic Bologna–Pistoia railway line that crosses the Apennines in northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Porrettana
Target entity description: Porrettana is the traditional name of the historic Bologna–Pistoia railway line that crosses the Apennines in northern Italy.
  • A. Savige
    Savige is an English-language surname most notably associated with Australian Lieutenant General Sir Stanley Savige, a distinguished military leader and humanitarian.
  • B. Parea
    Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
  • C. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • D. Moura
    Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
  • E. Moura
    Moura is a Portuguese-language surname commonly found in Brazil and other Lusophone countries, associated with various notable figures in arts, sports, and public life.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385968308190bc9fe5c2bd4598e6 completed April 21, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099814529c8190a94cfd3355862d0f completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a0998b0c09081909f99cdd4064f55cc completed May 17, 2026, 10:30 a.m.
NED2 Entity disambiguation (via description) batch_6a09993444c88190a5f594315b81c34a completed May 17, 2026, 10:32 a.m.
Created at: April 16, 2026, 4:04 p.m.