Triple

T4796583
Position Surface form Disambiguated ID Type / Status
Subject Aeolis E106726 entity
Predicate hasCity P316 FINISHED
Object Temnos
Temnos was an ancient Greek city of Aeolis in western Asia Minor, known from classical antiquity.
 E470819 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: Temnos | Statement: [Aeolis, hasCity, Temnos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Temnos
Context triple: [Aeolis, hasCity, Temnos]
  • A. Isla
    Isla is a Spanish surname historically associated with figures such as 18th-century naval officer Luis Vicente de Velasco e Isla.
  • B. Melos
    Melos is a Greek island in the Aegean Sea, renowned in art history as the discovery site of the famous ancient statue Venus de Milo.
  • C. Isola
    Isola is a small alpine commune in southeastern France known for its ski resort Isola 2000 and proximity to the Italian border.
  • D. Luna Island
    Luna Island is a small, rocky island situated between the American Falls and Bridal Veil Falls on the U.S. side of Niagara Falls, offering close-up views of the cascades.
  • E. Anholt
    Anholt is a small Danish island in the Kattegat Sea known for its extensive desert-like heathland and remote, sparsely populated landscape.
  • 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: Temnos
Triple: [Aeolis, hasCity, Temnos]
Generated description
Temnos was an ancient Greek city of Aeolis in western Asia Minor, known from classical antiquity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Temnos
Target entity description: Temnos was an ancient Greek city of Aeolis in western Asia Minor, known from classical antiquity.
  • A. Isla
    Isla is a Spanish surname historically associated with figures such as 18th-century naval officer Luis Vicente de Velasco e Isla.
  • B. Melos
    Melos is a Greek island in the Aegean Sea, renowned in art history as the discovery site of the famous ancient statue Venus de Milo.
  • C. Isola
    Isola is a small alpine commune in southeastern France known for its ski resort Isola 2000 and proximity to the Italian border.
  • D. Luna Island
    Luna Island is a small, rocky island situated between the American Falls and Bridal Veil Falls on the U.S. side of Niagara Falls, offering close-up views of the cascades.
  • E. Anholt
    Anholt is a small Danish island in the Kattegat Sea known for its extensive desert-like heathland and remote, sparsely populated landscape.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd660b05ec8190971f43350f02fed4 completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43f8d9548190857910be4ffc2711 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be46516cd881909144adabbe271907 completed March 21, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69be47d4d26c8190a1a192dc12578f4f completed March 21, 2026, 7:25 a.m.
Created at: March 20, 2026, 1:22 p.m.