Triple

T4285899
Position Surface form Disambiguated ID Type / Status
Subject Clusium E97266 entity
Predicate nearbyAncientCity P14422 FINISHED
Object Arretium
Arretium was a major Etruscan and later Roman city in central Italy, renowned for its strategic location and production of fine pottery (Arretine ware).
 E427757 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: Arretium | Statement: [Clusium, nearbyAncientCity, Arretium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arretium
Context triple: [Clusium, nearbyAncientCity, Arretium]
  • A. Italica
    Italica was an ancient Roman city in Hispania (near modern Seville, Spain), notable as the birthplace of emperors Trajan and Hadrian.
  • B. Olbia
    Olbia is a coastal city in northeastern Sardinia, Italy, known as a major port and tourist gateway to the Costa Smeralda.
  • C. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • D. Arpinum
    Arpinum is an ancient Italian town in Latium best known as the birthplace of the Roman statesman and orator Cicero.
  • 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: Arretium
Triple: [Clusium, nearbyAncientCity, Arretium]
Generated description
Arretium was a major Etruscan and later Roman city in central Italy, renowned for its strategic location and production of fine pottery (Arretine ware).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arretium
Target entity description: Arretium was a major Etruscan and later Roman city in central Italy, renowned for its strategic location and production of fine pottery (Arretine ware).
  • A. Italica
    Italica was an ancient Roman city in Hispania (near modern Seville, Spain), notable as the birthplace of emperors Trajan and Hadrian.
  • B. Olbia
    Olbia is a coastal city in northeastern Sardinia, Italy, known as a major port and tourist gateway to the Costa Smeralda.
  • C. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • D. Arpinum
    Arpinum is an ancient Italian town in Latium best known as the birthplace of the Roman statesman and orator Cicero.
  • 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_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.