Triple

T2354746
Position Surface form Disambiguated ID Type / Status
Subject Cannes E47528 entity
Predicate formerName P65 FINISHED
Object Aegitna
Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
 E257155 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: Aegitna | Statement: [Cannes, formerName, Aegitna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aegitna
Context triple: [Cannes, formerName, Aegitna]
  • A. Praxeas
    Praxeas was an early Christian theologian known for promoting a modalistic view of the Trinity that was later deemed heretical by mainstream church authorities.
  • B. Benthesikyme
    Benthesikyme is a minor sea goddess in Greek mythology, known primarily as a daughter of Poseidon.
  • C. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • D. Ephyra
    Ephyra is an ancient city in Greek mythology, often identified with Corinth and known as the legendary home of King Sisyphus.
  • E. Aegna
    Aegna is a small Estonian island in the Baltic Sea, located near Tallinn in the Gulf of Finland and known for its forests, beaches, and nature reserves.
  • 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: Aegitna
Triple: [Cannes, formerName, Aegitna]
Generated description
Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aegitna
Target entity description: Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
  • A. Praxeas
    Praxeas was an early Christian theologian known for promoting a modalistic view of the Trinity that was later deemed heretical by mainstream church authorities.
  • B. Benthesikyme
    Benthesikyme is a minor sea goddess in Greek mythology, known primarily as a daughter of Poseidon.
  • C. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • D. Ephyra
    Ephyra is an ancient city in Greek mythology, often identified with Corinth and known as the legendary home of King Sisyphus.
  • E. Aegna
    Aegna is a small Estonian island in the Baltic Sea, located near Tallinn in the Gulf of Finland and known for its forests, beaches, and nature reserves.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6fbb1fc8190b97f4e4ed386abc3 completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9633ce3c81908581e7e0f8211ac1 completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae971aa3bc8190b0b8b216106dca90 completed March 9, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ae9796b17c8190b6bc508432ffc30f completed March 9, 2026, 9:49 a.m.
Created at: March 4, 2026, 7:54 p.m.