Triple

T3409304
Position Surface form Disambiguated ID Type / Status
Subject Italica E71850 entity
Predicate hasDistrict P459 FINISHED
Object Vetus Urbs
Vetus Urbs is the ancient core district of the Roman city of Italica, encompassing its earliest urban remains and historic center.
E355370 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: Vetus Urbs | Statement: [Italica, hasDistrict, Vetus Urbs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vetus Urbs
Context triple: [Italica, hasDistrict, Vetus Urbs]
  • A. Neapolis
    Neapolis was an ancient port city in Macedonia that served as the maritime gateway to Philippi and a key stop on important trade and travel routes such as the Via Egnatia.
  • B. Neapolis
    Neapolis is the ancient Roman name for the city now known as Nablus in the West Bank, historically an important urban center in the Levant.
  • C. Cité
    Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
  • D. Trajanopolis
    Trajanopolis was an ancient city in Cilicia, Asia Minor, known as a later Roman-era name for the settlement originally called Selinus.
  • E. Roma
    The Roma are a traditionally nomadic ethnic group originating from the Indian subcontinent and living mainly in Europe, long subjected to persecution and discrimination, including mass murder during the Holocaust.
  • 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: Vetus Urbs
Triple: [Italica, hasDistrict, Vetus Urbs]
Generated description
Vetus Urbs is the ancient core district of the Roman city of Italica, encompassing its earliest urban remains and historic center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vetus Urbs
Target entity description: Vetus Urbs is the ancient core district of the Roman city of Italica, encompassing its earliest urban remains and historic center.
  • A. Neapolis
    Neapolis was an ancient port city in Macedonia that served as the maritime gateway to Philippi and a key stop on important trade and travel routes such as the Via Egnatia.
  • B. Neapolis
    Neapolis is the ancient Roman name for the city now known as Nablus in the West Bank, historically an important urban center in the Levant.
  • C. Cité
    Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
  • D. Trajanopolis
    Trajanopolis was an ancient city in Cilicia, Asia Minor, known as a later Roman-era name for the settlement originally called Selinus.
  • E. Roma
    Roma is a critically acclaimed 2018 Mexican drama film directed by Alfonso Cuarón, celebrated for its intimate portrayal of a domestic worker in 1970s Mexico City and its innovative black-and-white cinematography.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb90754788190ab85e2bec020f99e completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bdd99248190823875cae2531609 completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e486c3c81908e73c5b75baf119c completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34fc420b08190baee678721b1b32c completed March 12, 2026, 11:44 p.m.
Created at: March 8, 2026, 3:15 p.m.