Triple

T7324797
Position Surface form Disambiguated ID Type / Status
Subject Calydonian Boar Hunt E168843 entity
Predicate hasParticipant P149 FINISHED
Object Lelex
Lelex is a figure from Greek mythology known as one of the heroes who took part in the legendary Calydonian Boar Hunt.
 E657695 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: Lelex | Statement: [Calydonian Boar Hunt, hasParticipant, Lelex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lelex
Context triple: [Calydonian Boar Hunt, hasParticipant, Lelex]
  • A. Lélex
    Lélex is a small French mountain village and ski resort in the Jura Mountains, known as a gateway for hiking and winter sports.
  • B. Volax
    Volax is a distinctive traditional village on the Greek island of Tinos, known for its unique landscape of scattered granite boulders and its long-standing basket-weaving tradition.
  • C. Founex
    Founex is a small Swiss municipality on Lake Geneva in the canton of Vaud, known for its residential character and proximity to Geneva.
  • D. Ornex
    Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • E. Elxsi
    Elxsi was a computer company known for developing high-performance minicomputers and multiprocessor systems in the late 20th century.
  • 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: Lelex
Triple: [Calydonian Boar Hunt, hasParticipant, Lelex]
Generated description
Lelex is a figure from Greek mythology known as one of the heroes who took part in the legendary Calydonian Boar Hunt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lelex
Target entity description: Lelex is a figure from Greek mythology known as one of the heroes who took part in the legendary Calydonian Boar Hunt.
  • A. Lélex
    Lélex is a small French mountain village and ski resort in the Jura Mountains, known as a gateway for hiking and winter sports.
  • B. Volax
    Volax is a distinctive traditional village on the Greek island of Tinos, known for its unique landscape of scattered granite boulders and its long-standing basket-weaving tradition.
  • C. Founex
    Founex is a small Swiss municipality on Lake Geneva in the canton of Vaud, known for its residential character and proximity to Geneva.
  • D. Ornex
    Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • E. Elxsi
    Elxsi was a computer company known for developing high-performance minicomputers and multiprocessor systems in the late 20th century.
  • 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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f04993408190b73fb46d83a632d5 completed March 27, 2026, 9:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef0a1200819089fe3e18493d8bee completed March 28, 2026, 3:08 p.m.
NEDg Description generation batch_69c7ef7f7b7c8190b3361cc01b2eefc0 completed March 28, 2026, 3:10 p.m.
NED2 Entity disambiguation (via description) batch_69c7f380dbe48190933e1eeff109185d completed March 28, 2026, 3:28 p.m.
Created at: March 27, 2026, 3:03 p.m.