Triple

T7261238
Position Surface form Disambiguated ID Type / Status
Subject Aru languages E159656 entity
Predicate glottologName P6521 FINISHED
Object Aru
Aru is a group of closely related Austronesian languages spoken primarily in the Aru Islands of eastern Indonesia.
E651513 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: Aru | Statement: [Aru languages, glottologName, Aru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aru
Context triple: [Aru languages, glottologName, Aru]
  • A. Aru
    Aru is a town in the northeastern Democratic Republic of the Congo, near the Ugandan border, serving as a local administrative and trading center in Ituri Province.
  • B. Aro
    Aro is a powerful and ancient vampire in the Twilight series, known as one of the three ruling leaders of the Volturi coven and for his ability to read every thought a person has ever had through touch.
  • C. Arki
    Arki is a small, sparsely populated Greek island in the Aegean Sea, known for its quiet beaches and traditional fishing community.
  • D. Saru
    Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
  • E. Arka
    Arka is a Polish sports club best known for its professional football team based in the port city of Gdynia.
  • 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: Aru
Triple: [Aru languages, glottologName, Aru]
Generated description
Aru is a group of closely related Austronesian languages spoken primarily in the Aru Islands of eastern Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aru
Target entity description: Aru is a group of closely related Austronesian languages spoken primarily in the Aru Islands of eastern Indonesia.
  • A. Aru
    Aru is a town in the northeastern Democratic Republic of the Congo, near the Ugandan border, serving as a local administrative and trading center in Ituri Province.
  • B. Aro
    Aro is a powerful and ancient vampire in the Twilight series, known as one of the three ruling leaders of the Volturi coven and for his ability to read every thought a person has ever had through touch.
  • C. Arki
    Arki is a small, sparsely populated Greek island in the Aegean Sea, known for its quiet beaches and traditional fishing community.
  • D. Saru
    Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
  • E. Arka
    Arka is a Polish sports club best known for its professional football team based in the port city of Gdynia.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eac79fd081909274aa10ffb192aa completed March 27, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3bda4808190810f2d170cb693b9 completed March 28, 2026, 1:12 p.m.
NEDg Description generation batch_69c7d469fd0081908943099685f94c8b completed March 28, 2026, 1:15 p.m.
NED2 Entity disambiguation (via description) batch_69c7d52299108190974a2e62d6f96610 completed March 28, 2026, 1:18 p.m.
Created at: March 27, 2026, 2:57 p.m.