Triple

T19564008
Position Surface form Disambiguated ID Type / Status
Subject Aeno E489530 entity
Predicate hasEthnonym P1435 FINISHED
Object Äno
Äno is an ethnonym referring to a specific ethnic or cultural group known as the Äno people.
 E1385653 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: Äno | Statement: [Aeno, hasEthnonym, Äno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Äno
Context triple: [Aeno, hasEthnonym, Äno]
  • A. Äno
    Äno is a musical artist known for creating atmospheric, experimental electronic music.
  • B. A’aninin
    A’aninin, also known as the Gros Ventre, are a Native American people of the Northern Plains historically associated with present-day Montana.
  • C. Alnôba
    Alnôba is an Indigenous Algonquian language traditionally spoken by the Western Abenaki people of northeastern North America.
  • D. Anaa
    Anaa is a remote coral atoll in French Polynesia’s Tuamotu Archipelago, known for its large lagoon, traditional Polynesian culture, and historical significance as a former regional center.
  • E. Nanneella
    Nanneella is a small rural town in northern Victoria, Australia, situated within the Shire of Campaspe and known for its agricultural surroundings.
  • 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: Äno
Triple: [Aeno, hasEthnonym, Äno]
Generated description
Äno is an ethnonym referring to a specific ethnic or cultural group known as the Äno people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Äno
Target entity description: Äno is an ethnonym referring to a specific ethnic or cultural group known as the Äno people.
  • A. Äno
    Äno is a musical artist known for creating atmospheric, experimental electronic music.
  • B. A’aninin
    A’aninin, also known as the Gros Ventre, are a Native American people of the Northern Plains historically associated with present-day Montana.
  • C. Alnôba
    Alnôba is an Indigenous Algonquian language traditionally spoken by the Western Abenaki people of northeastern North America.
  • D. Anaa
    Anaa is a remote coral atoll in French Polynesia’s Tuamotu Archipelago, known for its large lagoon, traditional Polynesian culture, and historical significance as a former regional center.
  • E. Nanneella
    Nanneella is a small rural town in northern Victoria, Australia, situated within the Shire of Campaspe and known for its agricultural surroundings.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f75b2d481909fa3f603fe6bd5bd completed April 20, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f08e5b481908459a354bab00b6f completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a07601bb12c81909faab959182b1863 completed May 15, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_6a07613541688190821fd97e069691a5 completed May 15, 2026, 6:08 p.m.
Created at: April 10, 2026, 1:42 p.m.