Triple

T709175
Position Surface form Disambiguated ID Type / Status
Subject Etruria E14168 entity
Predicate majorCity P316 FINISHED
Object Cerveteri
Cerveteri is an ancient Italian town best known as a powerful Etruscan city-state and for its extensive necropolis of rock-cut tombs.
 E93579 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: Cerveteri | Statement: [Etruria, majorCity, Cerveteri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cerveteri
Context triple: [Etruria, majorCity, Cerveteri]
  • A. Tarquinia
    Tarquinia is an ancient Etruscan city in central Italy renowned for its richly painted tombs and significant archaeological remains.
  • B. 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.
  • C. Assisi
    Assisi is an Italian hill town in Umbria renowned as the birthplace of St. Francis and a major center of Christian pilgrimage.
  • D. San Savino
    San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • E. Pitigliano
    Pitigliano is a picturesque hilltop town in southern Tuscany, Italy, renowned for its well-preserved Jewish heritage and historic ghetto, earning it the nickname “Little Jerusalem.”
  • 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: Cerveteri
Triple: [Etruria, majorCity, Cerveteri]
Generated description
Cerveteri is an ancient Italian town best known as a powerful Etruscan city-state and for its extensive necropolis of rock-cut tombs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cerveteri
Target entity description: Cerveteri is an ancient Italian town best known as a powerful Etruscan city-state and for its extensive necropolis of rock-cut tombs.
  • A. Tarquinia
    Tarquinia is an ancient Etruscan city in central Italy renowned for its richly painted tombs and significant archaeological remains.
  • B. 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.
  • C. Assisi
    Assisi is an Italian hill town in Umbria renowned as the birthplace of St. Francis and a major center of Christian pilgrimage.
  • D. San Savino
    San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • E. Pitigliano
    Pitigliano is a picturesque hilltop town in southern Tuscany, Italy, renowned for its well-preserved Jewish heritage and historic ghetto, earning it the nickname “Little Jerusalem.”
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a55b63988190837e71fcdf3e39a6 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6787385d8819083f5b6336363743e completed March 3, 2026, 5:58 a.m.
NEDg Description generation batch_69a679232fc88190b3b60233e81c831e completed March 3, 2026, 6:01 a.m.
NED2 Entity disambiguation (via description) batch_69a67993ed108190b86e3e00a27fff2c completed March 3, 2026, 6:03 a.m.
Created at: March 1, 2026, 7:36 p.m.