Triple

T1166739
Position Surface form Disambiguated ID Type / Status
Subject Gaul E24814 entity
Predicate majorCity P316 FINISHED
Object Lutetia
Lutetia was the ancient Roman-era settlement on the site of modern-day Paris, serving as a key urban center in the region of Gaul.
 E137096 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: Lutetia | Statement: [Gaul, majorCity, Lutetia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lutetia
Context triple: [Gaul, majorCity, Lutetia]
  • A. Tauresium
    Tauresium was an ancient settlement in the Balkans, traditionally identified as the birthplace of the Byzantine emperor Justinian I.
  • B. Ceres
    Ceres is the largest object in the asteroid belt between Mars and Jupiter and a dwarf planet composed primarily of rock and ice.
  • C. Ceres
    Ceres is a small city in Stanislaus County, California, known primarily as a residential and agricultural community in the Central Valley.
  • D. Vesta
    Vesta is the Roman goddess of the hearth, home, and sacred fire, central to domestic and state religion in ancient Rome.
  • E. Pallas
    Pallas was a British Royal Navy frigate active during the American Revolutionary War, notably engaged in North Sea operations against French and American forces.
  • 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: Lutetia
Triple: [Gaul, majorCity, Lutetia]
Generated description
Lutetia was the ancient Roman-era settlement on the site of modern-day Paris, serving as a key urban center in the region of Gaul.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lutetia
Target entity description: Lutetia was the ancient Roman-era settlement on the site of modern-day Paris, serving as a key urban center in the region of Gaul.
  • A. Tauresium
    Tauresium was an ancient settlement in the Balkans, traditionally identified as the birthplace of the Byzantine emperor Justinian I.
  • B. Ceres
    Ceres is the largest object in the asteroid belt between Mars and Jupiter and a dwarf planet composed primarily of rock and ice.
  • C. Ceres
    Ceres is a small city in Stanislaus County, California, known primarily as a residential and agricultural community in the Central Valley.
  • D. Vesta
    Vesta is the Roman goddess of the hearth, home, and sacred fire, central to domestic and state religion in ancient Rome.
  • E. Pallas
    Pallas was a British Royal Navy frigate active during the American Revolutionary War, notably engaged in North Sea operations against French and American forces.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bccd75048190b8ce88237c1a748b completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7645abc8819086de42185bd403ed completed March 7, 2026, 7:02 p.m.
NEDg Description generation batch_69ac76f20f308190be3c831eb2d59763 completed March 7, 2026, 7:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac77585c708190b5f4b239d9574cd7 completed March 7, 2026, 7:07 p.m.
Created at: March 1, 2026, 7:45 p.m.