Triple

T9716734
Position Surface form Disambiguated ID Type / Status
Subject Etruscan religion E235160 entity
Predicate hasDeity P5606 FINISHED
Object Artumes
Artumes is an Etruscan goddess associated with hunting, the wilderness, and the moon, closely related to the Greek Artemis.
E815999 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: Artumes | Statement: [Etruscan religion, hasDeity, Artumes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Artumes
Context triple: [Etruscan religion, hasDeity, Artumes]
  • A. Cremera
    Cremera is a small river in central Italy historically known as the site of battles between the ancient Etruscan city of Veii and early Rome.
  • B. Phenax
    Phenax is a small genus of flowering plants in the hemp family Cannabaceae, native to the Americas and typically found in tropical to subtropical regions.
  • C. Fremulon
    Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
  • D. Tamzine
    Tamzine is a small British fishing boat famed for taking part in the 1940 Dunkirk evacuation as one of the celebrated "Little Ships."
  • E. Balthane
    Balthane is a small locality within the parish of Malew on the Isle of Man, known historically for its rural character and traditional setting.
  • 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: Artumes
Triple: [Etruscan religion, hasDeity, Artumes]
Generated description
Artumes is an Etruscan goddess associated with hunting, the wilderness, and the moon, closely related to the Greek Artemis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Artumes
Target entity description: Artumes is an Etruscan goddess associated with hunting, the wilderness, and the moon, closely related to the Greek Artemis.
  • A. Cremera
    Cremera is a small river in central Italy historically known as the site of battles between the ancient Etruscan city of Veii and early Rome.
  • B. Phenax
    Phenax is a small genus of flowering plants in the hemp family Cannabaceae, native to the Americas and typically found in tropical to subtropical regions.
  • C. Fremulon
    Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
  • D. Tamzine
    Tamzine is a small British fishing boat famed for taking part in the 1940 Dunkirk evacuation as one of the celebrated "Little Ships."
  • E. Balthane
    Balthane is a small locality within the parish of Malew on the Isle of Man, known historically for its rural character and traditional setting.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e3d75e08190b4d86363595bd40d completed April 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f941b908190a3e27f4b6c1b3535 completed April 4, 2026, 11:32 p.m.
NEDg Description generation batch_69d1a00eafc08190a2be7684fd7e9320 completed April 4, 2026, 11:34 p.m.
NED2 Entity disambiguation (via description) batch_69d1a072e08c8190a3beaf1219fa850f completed April 4, 2026, 11:36 p.m.
Created at: March 30, 2026, 8:20 p.m.