Triple

T19069816
Position Surface form Disambiguated ID Type / Status
Subject Pan flute E466761 entity
Predicate hasVariant P455 FINISHED
Object antara
Antara is a traditional Andean pan flute instrument made of multiple pipes of varying lengths arranged in a row to produce different musical pitches.
 E1357531 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: antara | Statement: [Pan flute, hasVariant, antara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: antara
Context triple: [Pan flute, hasVariant, antara]
  • A. Antara
    Antara is a contemporary classical composition by British composer George Benjamin, known for its innovative orchestration and exploration of timbre.
  • B. Warta
    Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
  • C. Warta
    Warta is a small historic town in central Poland, situated in the Sieradz region along the Warta River.
  • D. Tidung
    Tidung is an Austronesian language spoken by the Tidung people of Borneo, particularly in parts of North Kalimantan, Indonesia and neighboring Sabah, Malaysia.
  • E. Karabar
    Karabar is a residential suburb of Queanbeyan in New South Wales, Australia, known for its family-oriented community and proximity to the ACT border.
  • 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: antara
Triple: [Pan flute, hasVariant, antara]
Generated description
Antara is a traditional Andean pan flute instrument made of multiple pipes of varying lengths arranged in a row to produce different musical pitches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: antara
Target entity description: Antara is a traditional Andean pan flute instrument made of multiple pipes of varying lengths arranged in a row to produce different musical pitches.
  • A. Antara
    Antara is a contemporary classical composition by British composer George Benjamin, known for its innovative orchestration and exploration of timbre.
  • B. Warta
    Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
  • C. Warta
    Warta is a small historic town in central Poland, situated in the Sieradz region along the Warta River.
  • D. Tidung
    Tidung is an Austronesian language spoken by the Tidung people of Borneo, particularly in parts of North Kalimantan, Indonesia and neighboring Sabah, Malaysia.
  • E. Karabar
    Karabar is a residential suburb of Queanbeyan in New South Wales, Australia, known for its family-oriented community and proximity to the ACT border.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e19caa708190876a2cb06aa0c9cc completed April 20, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05d35a706c8190a658d1b145db8a31 completed May 14, 2026, 1:51 p.m.
NEDg Description generation batch_6a05d68590c88190a17da95cc59869e2 completed May 14, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_6a05d724aa948190876a09d6cc264dee completed May 14, 2026, 2:07 p.m.
Created at: April 10, 2026, 12:03 p.m.