Triple

T21171727
Position Surface form Disambiguated ID Type / Status
Subject Pekalongan Regency E521706 entity
Predicate capital P234 FINISHED
Object Kajen
Kajen is the administrative center and main town of Pekalongan Regency in Central Java, Indonesia.
 E1470389 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: Kajen | Statement: [Pekalongan Regency, capital, Kajen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kajen
Context triple: [Pekalongan Regency, capital, Kajen]
  • A. Leopard
    The leopard is a large, solitary wild cat native to Africa and parts of Asia, known for its spotted coat, adaptability to diverse habitats, and exceptional climbing and hunting abilities.
  • B. Tiger
    The tiger is a large, powerful carnivorous cat known for its distinctive orange coat with black stripes and its status as an apex predator in Asia.
  • C. Tiger
    Tiger is a legendary American professional golfer widely regarded as one of the greatest players in the history of the sport.
  • D. Leão
    Leão is a Portuguese surname most notably borne by composer and musician Rodrigo Leão.
  • E. Gepard
    The Gepard is a German self-propelled anti-aircraft gun system featuring twin 35 mm cannons and radar for tracking and engaging low-flying aircraft and drones.
  • 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: Kajen
Triple: [Pekalongan Regency, capital, Kajen]
Generated description
Kajen is the administrative center and main town of Pekalongan Regency in Central Java, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kajen
Target entity description: Kajen is the administrative center and main town of Pekalongan Regency in Central Java, Indonesia.
  • A. Leopard
    The leopard is a large, solitary wild cat native to Africa and parts of Asia, known for its spotted coat, adaptability to diverse habitats, and exceptional climbing and hunting abilities.
  • B. Tiger
    Tiger is a legendary American professional golfer widely regarded as one of the greatest players in the history of the sport.
  • C. Tiger
    The tiger is a large, powerful carnivorous cat known for its distinctive orange coat with black stripes and its status as an apex predator in Asia.
  • D. Leão
    Leão is a Portuguese surname most notably borne by composer and musician Rodrigo Leão.
  • E. Gepard
    The Gepard is a German self-propelled anti-aircraft gun system featuring twin 35 mm cannons and radar for tracking and engaging low-flying aircraft and drones.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7271351f08190b609a6c280c9a02a completed April 21, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097573a08481909695019432940d39 completed May 17, 2026, 7:59 a.m.
NEDg Description generation batch_6a09764338fc8190be908a6fa9457d18 completed May 17, 2026, 8:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0978016f188190b8e2d2c7b1b01977 completed May 17, 2026, 8:10 a.m.
Created at: April 16, 2026, 3 p.m.