Triple

T1436989
Position Surface form Disambiguated ID Type / Status
Subject Baul E30578 entity
Predicate typicalInstrument P12878 FINISHED
Object ektara
The ektara is a simple one-stringed folk instrument widely used in South Asian devotional and folk music, especially by wandering minstrels and mystic singers.
 E165988 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: ektara | Statement: [Baul, typicalInstrument, ektara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ektara
Context triple: [Baul, typicalInstrument, ektara]
  • A. Tektitek
    Tektitek is a Mayan language spoken primarily by the Tektiteko people in parts of Guatemala and Mexico.
  • B. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • C. Tekrad
    Tekrad was the original name of Tektronix, an American company known for its pioneering electronic test and measurement equipment.
  • D. Jakaltek
    Jakaltek is a Mayan language spoken primarily by the Jakaltek (Popti’) people of Guatemala’s western highlands.
  • E. Rkatsiteli
    Rkatsiteli is an ancient Georgian white grape variety, especially associated with the Kakheti region, known for producing crisp, high-acid wines and traditional qvevri-fermented styles.
  • 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: ektara
Triple: [Baul, typicalInstrument, ektara]
Generated description
The ektara is a simple one-stringed folk instrument widely used in South Asian devotional and folk music, especially by wandering minstrels and mystic singers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ektara
Target entity description: The ektara is a simple one-stringed folk instrument widely used in South Asian devotional and folk music, especially by wandering minstrels and mystic singers.
  • A. Tektitek
    Tektitek is a Mayan language spoken primarily by the Tektiteko people in parts of Guatemala and Mexico.
  • B. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • C. Tekrad
    Tekrad was the original name of Tektronix, an American company known for its pioneering electronic test and measurement equipment.
  • D. Jakaltek
    Jakaltek is a Mayan language spoken primarily by the Jakaltek (Popti’) people of Guatemala’s western highlands.
  • E. Rkatsiteli
    Rkatsiteli is an ancient Georgian white grape variety, especially associated with the Kakheti region, known for producing crisp, high-acid wines and traditional qvevri-fermented styles.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c50418d08190ace2cab98af87f29 completed March 1, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08b81a2c8190a47b1f960cf17f9d completed March 8, 2026, 5:27 a.m.
NEDg Description generation batch_69ad09bb040c8190bf014a9ff2249169 completed March 8, 2026, 5:31 a.m.
NED2 Entity disambiguation (via description) batch_69ad0a9956f8819081fd866c6f1ae5c7 completed March 8, 2026, 5:35 a.m.
Created at: March 1, 2026, 8 p.m.