Triple

T720181
Position Surface form Disambiguated ID Type / Status
Subject Kediri Kingdom E14598 entity
Predicate capital P234 FINISHED
Object Daha
Daha was a prominent historical city in East Java that served as the political and cultural center of the medieval Kediri Kingdom in Indonesia.
 E88314 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: Daha | Statement: [Kediri Kingdom, capital, Daha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daha
Context triple: [Kediri Kingdom, capital, Daha]
  • A. Daza
    The Daza are an ethnic group of the central Sahara, primarily in Chad, known for their nomadic pastoralist lifestyle and close cultural and linguistic ties to the Toubou (Tebu) peoples.
  • B. Dern
    Dern is a surname most prominently associated with American actor Bruce Dern and his family of performers.
  • C. Bauta
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • D. Haya
    Haya is a feminine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
  • E. Jagaban
    Jagaban is the popular political nickname of Nigerian politician and current president Bola Ahmed Tinubu, often used to signify his influential “godfather” status in Nigerian politics.
  • 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: Daha
Triple: [Kediri Kingdom, capital, Daha]
Generated description
Daha was a prominent historical city in East Java that served as the political and cultural center of the medieval Kediri Kingdom in Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daha
Target entity description: Daha was a prominent historical city in East Java that served as the political and cultural center of the medieval Kediri Kingdom in Indonesia.
  • A. Daza
    The Daza are an ethnic group of the central Sahara, primarily in Chad, known for their nomadic pastoralist lifestyle and close cultural and linguistic ties to the Toubou (Tebu) peoples.
  • B. Dern
    Dern is a surname most prominently associated with American actor Bruce Dern and his family of performers.
  • C. Bauta
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • D. Haya
    Haya is a feminine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
  • E. Jagaban
    Jagaban is the popular political nickname of Nigerian politician and current president Bola Ahmed Tinubu, often used to signify his influential “godfather” status in Nigerian politics.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a58e65e8819098cba7e6a20d8f33 completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a5a7e788190b5ad2505b68ca48d completed March 3, 2026, 2:41 a.m.
NEDg Description generation batch_69a64e3c1eac8190a62e4b24b0715dc2 completed March 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69a64ec899ec8190b8d2916c5965fabc completed March 3, 2026, 3 a.m.
Created at: March 1, 2026, 7:37 p.m.