Triple

T2821486
Position Surface form Disambiguated ID Type / Status
Subject Basilicata E54819 entity
Predicate hasCity P316 FINISHED
Object Matera
Matera is a historic city in southern Italy renowned for its ancient cave dwellings, the Sassi, a UNESCO World Heritage Site.
 E304593 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: Matera | Statement: [Basilicata, hasCity, Matera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matera
Context triple: [Basilicata, hasCity, Matera]
  • A. Nocera Umbra
    Nocera Umbra is a historic hill town in the Umbria region of central Italy, known for its medieval architecture and mineral springs.
  • B. Otranto
    Otranto is a historic coastal town in southern Italy’s Apulia region, known for its medieval castle, cathedral, and strategic position on the Adriatic Sea.
  • C. Frascati
    Frascati is a historic town in the Alban Hills near Rome, Italy, renowned for its white wine, Renaissance villas, and scenic views over the capital.
  • D. Melfi
    Melfi is a historic town in southern Italy known as an important medieval center of Norman rule and site of several papal councils.
  • E. Assisi
    Assisi is an Italian hill town in Umbria renowned as the birthplace of St. Francis and a major center of Christian pilgrimage.
  • 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: Matera
Triple: [Basilicata, hasCity, Matera]
Generated description
Matera is a historic city in southern Italy renowned for its ancient cave dwellings, the Sassi, a UNESCO World Heritage Site.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matera
Target entity description: Matera is a historic city in southern Italy renowned for its ancient cave dwellings, the Sassi, a UNESCO World Heritage Site.
  • A. Nocera Umbra
    Nocera Umbra is a historic hill town in the Umbria region of central Italy, known for its medieval architecture and mineral springs.
  • B. Otranto
    Otranto is a historic coastal town in southern Italy’s Apulia region, known for its medieval castle, cathedral, and strategic position on the Adriatic Sea.
  • C. Frascati
    Frascati is a historic town in the Alban Hills near Rome, Italy, renowned for its white wine, Renaissance villas, and scenic views over the capital.
  • D. Melfi
    Melfi is a historic town in southern Italy known as an important medieval center of Norman rule and site of several papal councils.
  • E. Assisi
    Assisi is an Italian hill town in Umbria renowned as the birthplace of St. Francis and a major center of Christian pilgrimage.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde704af88190a132626acc99745f completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d6b1ebc8190ae54d560abb5e612 completed March 10, 2026, 1:32 p.m.
NEDg Description generation batch_69b01e212f98819091bdf5f448d4e6e7 completed March 10, 2026, 1:35 p.m.
NED2 Entity disambiguation (via description) batch_69b01f0ce280819098b3ed695e277ecc completed March 10, 2026, 1:39 p.m.
Created at: March 6, 2026, 9:59 p.m.