Triple

T5159175
Position Surface form Disambiguated ID Type / Status
Subject Terni E116389 entity
Predicate hasHistoricalName P2834 FINISHED
Object Interamna Nahars
Interamna Nahars is the ancient Roman name for the modern Italian city of Terni in Umbria.
 E497827 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: Interamna Nahars | Statement: [Terni, hasHistoricalName, Interamna Nahars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Interamna Nahars
Context triple: [Terni, hasHistoricalName, Interamna Nahars]
  • A. Warihío
    Warihío is an Indigenous Uto-Aztecan-speaking people of northwestern Mexico, primarily living in the Sierra Madre Occidental region of Chihuahua and Sonora.
  • B. Moura
    Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
  • C. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • D. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • E. Osnos
    Osnos is a surname most notably associated with American journalist and author Peter Osnos and his family.
  • 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: Interamna Nahars
Triple: [Terni, hasHistoricalName, Interamna Nahars]
Generated description
Interamna Nahars is the ancient Roman name for the modern Italian city of Terni in Umbria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Interamna Nahars
Target entity description: Interamna Nahars is the ancient Roman name for the modern Italian city of Terni in Umbria.
  • A. Warihío
    Warihío is an Indigenous Uto-Aztecan-speaking people of northwestern Mexico, primarily living in the Sierra Madre Occidental region of Chihuahua and Sonora.
  • B. Moura
    Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
  • C. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • D. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • E. Osnos
    Osnos is a surname most notably associated with American journalist and author Peter Osnos and his family.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7904457c819090f382029ebb2b43 completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed01a85f88190827a79a2c26e539f completed March 21, 2026, 5:06 p.m.
NEDg Description generation batch_69bed254037c8190b1487b12425f8abe completed March 21, 2026, 5:16 p.m.
NED2 Entity disambiguation (via description) batch_69bed2be57108190bc3e758c34ffc34f completed March 21, 2026, 5:17 p.m.
Created at: March 20, 2026, 1:44 p.m.