Triple

T1761808
Position Surface form Disambiguated ID Type / Status
Subject Latium E38673 entity
Predicate contains P35 FINISHED
Object Aricia
Aricia was an ancient town in the Alban Hills of Latium, historically significant as a cult center of Diana and a key stop on the Via Appia near Rome.
 E199556 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: Aricia | Statement: [Latium, contains, Aricia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aricia
Context triple: [Latium, contains, Aricia]
  • A. Arona
    Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
  • B. Aneto
    Aneto is the tallest mountain in the Pyrenees, located in the Spanish province of Huesca and renowned for its glaciers and popular alpine climbing routes.
  • C. Maras
    Maras is a small Andean town in Peru’s Sacred Valley, known for its ancient terraced salt pans that have been harvested since Inca times.
  • D. Coloma
    Coloma is a historic town in Northern California best known as the site of the 1848 gold discovery that sparked the California Gold Rush.
  • E. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • 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: Aricia
Triple: [Latium, contains, Aricia]
Generated description
Aricia was an ancient town in the Alban Hills of Latium, historically significant as a cult center of Diana and a key stop on the Via Appia near Rome.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aricia
Target entity description: Aricia was an ancient town in the Alban Hills of Latium, historically significant as a cult center of Diana and a key stop on the Via Appia near Rome.
  • A. Arona
    Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
  • B. Aneto
    Aneto is the tallest mountain in the Pyrenees, located in the Spanish province of Huesca and renowned for its glaciers and popular alpine climbing routes.
  • C. Maras
    Maras is a small Andean town in Peru’s Sacred Valley, known for its ancient terraced salt pans that have been harvested since Inca times.
  • D. Coloma
    Coloma is a historic town in Northern California best known as the site of the 1848 gold discovery that sparked the California Gold Rush.
  • E. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6463ac0081909e9ebe6ebf1db857 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada98eb0348190a44e05393a2c6eff completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adae9845f081908904030f7a10df63 completed March 8, 2026, 5:15 p.m.
NED2 Entity disambiguation (via description) batch_69adafa3494c8190b34a6930cf38ca40 completed March 8, 2026, 5:19 p.m.
Created at: March 4, 2026, 7:31 p.m.