Triple

T10056497
Position Surface form Disambiguated ID Type / Status
Subject Roman Spain E208874 entity
Predicate majorCity P316 FINISHED
Object Segobriga
Segobriga was an important ancient Roman city in central Hispania known for its well-preserved archaeological remains, including a theater, amphitheater, and forum.
 E838623 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: Segobriga | Statement: [Roman Spain, majorCity, Segobriga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Segobriga
Context triple: [Roman Spain, majorCity, Segobriga]
  • A. La Barra
    La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
  • B. La Barra
    La Barra is the natural volcanic reef that shelters Las Canteras Beach in Las Palmas de Gran Canaria, creating its calm, protected waters.
  • C. Cieneguilla
    Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
  • D. Bérrio
    Bérrio was a Portuguese carrack that served as one of the ships in Vasco da Gama’s pioneering fleet on the first voyage from Portugal to India.
  • E. Varela
    Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
  • 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: Segobriga
Triple: [Roman Spain, majorCity, Segobriga]
Generated description
Segobriga was an important ancient Roman city in central Hispania known for its well-preserved archaeological remains, including a theater, amphitheater, and forum.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Segobriga
Target entity description: Segobriga was an important ancient Roman city in central Hispania known for its well-preserved archaeological remains, including a theater, amphitheater, and forum.
  • A. La Barra
    La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
  • B. La Barra
    La Barra is the natural volcanic reef that shelters Las Canteras Beach in Las Palmas de Gran Canaria, creating its calm, protected waters.
  • C. Cieneguilla
    Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
  • D. Bérrio
    Bérrio was a Portuguese carrack that served as one of the ships in Vasco da Gama’s pioneering fleet on the first voyage from Portugal to India.
  • E. Varela
    Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfae503881909b9f016da4e2207d completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a5258788190a4ecdefa5b520609 completed April 5, 2026, 5:22 p.m.
NEDg Description generation batch_69d29b7430248190b8965eaf1286dd7c completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29c7ba9f081908f4614098d6c954b completed April 5, 2026, 5:31 p.m.
Created at: March 30, 2026, 8:57 p.m.