Triple

T4285898
Position Surface form Disambiguated ID Type / Status
Subject Clusium E97266 entity
Predicate nearbyAncientCity P14422 FINISHED
Object Perusia
Perusia was an important ancient Etruscan city in central Italy, later known as the Roman colony of Perusia and modern-day Perugia.
E427756 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: Perusia | Statement: [Clusium, nearbyAncientCity, Perusia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perusia
Context triple: [Clusium, nearbyAncientCity, Perusia]
  • A. Russas
    Russas is a municipality in the northeastern Brazilian state of Ceará, known for its agricultural activities and semi-arid climate.
  • B. Usan
    Usan is a small coastal village in Angus, Scotland, known for its fishing heritage and scenic North Sea shoreline.
  • C. Umma
    Umma was an important Sumerian city-state in ancient Mesopotamia, known for its frequent territorial conflicts with the neighboring city-state of Lagash.
  • D. Amery
    Amery is an English surname most notably associated with a British political family, including Conservative politician Julian Amery.
  • E. Rusa
    Rusa is a genus of deer native to South and Southeast Asia, including species such as the Javan rusa and sambar.
  • 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: Perusia
Triple: [Clusium, nearbyAncientCity, Perusia]
Generated description
Perusia was an important ancient Etruscan city in central Italy, later known as the Roman colony of Perusia and modern-day Perugia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Perusia
Target entity description: Perusia was an important ancient Etruscan city in central Italy, later known as the Roman colony of Perusia and modern-day Perugia.
  • A. Russas
    Russas is a municipality in the northeastern Brazilian state of Ceará, known for its agricultural activities and semi-arid climate.
  • B. Usan
    Usan is a small coastal village in Angus, Scotland, known for its fishing heritage and scenic North Sea shoreline.
  • C. Umma
    Umma was an important Sumerian city-state in ancient Mesopotamia, known for its frequent territorial conflicts with the neighboring city-state of Lagash.
  • D. Amery
    Amery is an English surname most notably associated with a British political family, including Conservative politician Julian Amery.
  • E. Rusa
    Rusa is a genus of deer native to South and Southeast Asia, including species such as the Javan rusa and sambar.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3505bff588190919a4ef547f607c2 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7c657b08190b96135c34622e559 completed March 14, 2026, 7:32 p.m.
NEDg Description generation batch_69b5bba7859481909e2afe21774dc599 completed March 14, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69b5bc5f26508190b333ec09c517f7c8 completed March 14, 2026, 7:51 p.m.
Created at: March 12, 2026, 11:07 p.m.