Triple

T4121178
Position Surface form Disambiguated ID Type / Status
Subject Tarquinia E92615 entity
Predicate hasHistoricName P2834 FINISHED
Object Tarquinii
Tarquinii is the ancient Etruscan city in central Italy renowned for its rich archaeological remains and elaborately painted tombs.
E415863 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: Tarquinii | Statement: [Tarquinia, hasHistoricName, Tarquinii]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarquinii
Context triple: [Tarquinia, hasHistoricName, Tarquinii]
  • A. Vulci
    Vulci was an important ancient Etruscan city renowned for its rich tombs, art, and role in Mediterranean trade.
  • B. Praeneste
    Praeneste was an ancient Italian city in Latium, famed for its monumental sanctuary of Fortuna Primigenia and its strategic position overlooking the Roman Campagna.
  • C. Clusium
    Clusium was an important ancient Etruscan city, known for its strategic location in central Italy and its significant role in early Roman history.
  • D. Aurunci
    The Aurunci were an ancient Italic people of south-central Italy, known from early Roman history and associated with the Oscan-speaking cultural sphere.
  • E. Alba Longa
    Alba Longa was an ancient Latin city in central Italy, traditionally regarded as the mother city of Rome and the seat of the Alban kings.
  • 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: Tarquinii
Triple: [Tarquinia, hasHistoricName, Tarquinii]
Generated description
Tarquinii is the ancient Etruscan city in central Italy renowned for its rich archaeological remains and elaborately painted tombs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tarquinii
Target entity description: Tarquinii is the ancient Etruscan city in central Italy renowned for its rich archaeological remains and elaborately painted tombs.
  • A. Vulci
    Vulci was an important ancient Etruscan city renowned for its rich tombs, art, and role in Mediterranean trade.
  • B. Praeneste
    Praeneste was an ancient Italian city in Latium, famed for its monumental sanctuary of Fortuna Primigenia and its strategic position overlooking the Roman Campagna.
  • C. Clusium
    Clusium was an important ancient Etruscan city, known for its strategic location in central Italy and its significant role in early Roman history.
  • D. Aurunci
    The Aurunci were an ancient Italic people of south-central Italy, known from early Roman history and associated with the Oscan-speaking cultural sphere.
  • E. Alba Longa
    Alba Longa was an ancient Latin city in central Italy, traditionally regarded as the mother city of Rome and the seat of the Alban kings.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af0203b8c88190b08dd64800a37168 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576ae8ef08190ba2adcbd2bbe8d35 completed March 14, 2026, 2:54 p.m.
NEDg Description generation batch_69b5778a01e48190acb14d544cd53a63 completed March 14, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_69b577f2d46c8190a66b2b536088633c completed March 14, 2026, 3 p.m.
Created at: March 9, 2026, 3:41 p.m.