Triple

T20692174
Position Surface form Disambiguated ID Type / Status
Subject Panembahan Senapati E508578 entity
Predicate capitalEstablished P1263 FINISHED
Object Kotagede
Kotagede is a historic district in Yogyakarta, Indonesia, known as the former capital of the Mataram Sultanate and for its traditional Javanese architecture and silver craftsmanship.
E1445412 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: Kotagede | Statement: [Panembahan Senapati, capitalEstablished, Kotagede]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kotagede
Context triple: [Panembahan Senapati, capitalEstablished, Kotagede]
  • A. Gouderak
    Gouderak is a small village in the Dutch province of South Holland, situated along the Hollandse IJssel river.
  • B. Kotoden
    Kotoden is a private Japanese railway company operating electric train services in Kagawa Prefecture, particularly around Takamatsu and Kotohira.
  • C. Kotputli
    Kotputli is a town in the Indian state of Rajasthan that serves as an important commercial and transport hub between Jaipur and Delhi.
  • D. Kerevat
    Kerevat is a significant inland town in East New Britain Province of Papua New Guinea, known for its agricultural research station and surrounding cocoa and coconut plantations.
  • E. Kopanka
    Kopanka is a village located in Rawa County in central Poland.
  • 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: Kotagede
Triple: [Panembahan Senapati, capitalEstablished, Kotagede]
Generated description
Kotagede is a historic district in Yogyakarta, Indonesia, known as the former capital of the Mataram Sultanate and for its traditional Javanese architecture and silver craftsmanship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kotagede
Target entity description: Kotagede is a historic district in Yogyakarta, Indonesia, known as the former capital of the Mataram Sultanate and for its traditional Javanese architecture and silver craftsmanship.
  • A. Gouderak
    Gouderak is a small village in the Dutch province of South Holland, situated along the Hollandse IJssel river.
  • B. Kotoden
    Kotoden is a private Japanese railway company operating electric train services in Kagawa Prefecture, particularly around Takamatsu and Kotohira.
  • C. Kotputli
    Kotputli is a town in the Indian state of Rajasthan that serves as an important commercial and transport hub between Jaipur and Delhi.
  • D. Kerevat
    Kerevat is a significant inland town in East New Britain Province of Papua New Guinea, known for its agricultural research station and surrounding cocoa and coconut plantations.
  • E. Kopanka
    Kopanka is a village located in Rawa County in central Poland.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c10eaccc819085320fffbb0aeceb completed April 21, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7e43a3c81909f63e63e30e9c435 completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08d91216bc8190909e0e37f6d5e612 completed May 16, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_6a08d99214b48190b0ffba4026d3fa39 completed May 16, 2026, 8:54 p.m.
Created at: April 16, 2026, 12:09 p.m.