Triple

T18631665
Position Surface form Disambiguated ID Type / Status
Subject Malagasy people E455431 entity
Predicate traditionalInstrument P8530 FINISHED
Object valiha
The valiha is a traditional Malagasy bamboo tube zither known for its delicate, harp-like sound and central role in the music of Madagascar.
E1334930 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: valiha | Statement: [Malagasy people, traditionalInstrument, valiha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: valiha
Context triple: [Malagasy people, traditionalInstrument, valiha]
  • A. vali
    A vali was the Ottoman Empire’s provincial governor, serving as the sultan’s chief administrative and political representative in a vilayet.
  • B. VALIC
    VALIC is a financial services company specializing in retirement planning and annuity products, operating as a brand of American International Group (AIG).
  • C. Vahka
    Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
  • D. Vatutine
    Vatutine is a small industrial city in central Ukraine, located within Cherkasy Oblast.
  • E. Vahalis
    Vahalis is an ancient or historical name for the River Waal, a major distributary branch of the Rhine in the Netherlands.
  • 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: valiha
Triple: [Malagasy people, traditionalInstrument, valiha]
Generated description
The valiha is a traditional Malagasy bamboo tube zither known for its delicate, harp-like sound and central role in the music of Madagascar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: valiha
Target entity description: The valiha is a traditional Malagasy bamboo tube zither known for its delicate, harp-like sound and central role in the music of Madagascar.
  • A. vali
    A vali was the Ottoman Empire’s provincial governor, serving as the sultan’s chief administrative and political representative in a vilayet.
  • B. VALIC
    VALIC is a financial services company specializing in retirement planning and annuity products, operating as a brand of American International Group (AIG).
  • C. Vahka
    Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
  • D. Vatutine
    Vatutine is a small industrial city in central Ukraine, located within Cherkasy Oblast.
  • E. Vahalis
    Vahalis is an ancient or historical name for the River Waal, a major distributary branch of the Rhine in the Netherlands.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc4c5648190b771e9b080e98c15 completed April 19, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d7e812c8190ab055062a4479474 completed May 13, 2026, 11:47 p.m.
NEDg Description generation batch_6a050fd68c8c8190a34253dd79090280 completed May 13, 2026, 11:57 p.m.
NED2 Entity disambiguation (via description) batch_6a05108fdea081909fd0a1ccdeaeb704 completed May 14, 2026, midnight
Created at: April 10, 2026, 11:46 a.m.