Triple

T5646296
Position Surface form Disambiguated ID Type / Status
Subject Battle of Jitra E124392 entity
Predicate location P40 FINISHED
Object Jitra
Jitra is a town in the state of Kedah in northern Peninsular Malaysia, historically noted as the site of a major World War II battle between British Commonwealth and Japanese forces.
 E539640 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: Jitra | Statement: [Battle of Jitra, location, Jitra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jitra
Context triple: [Battle of Jitra, location, Jitra]
  • A. Isara
    Isara is the Latin name for the Isar River, a major waterway flowing through the Alps and the city of Munich in Germany.
  • B. Blanga
    Blanga is an Austronesian language spoken primarily on the island of Santa Isabel in the Solomon Islands.
  • C. Mirani
    Mirani is an electoral district in Queensland, Australia, represented in the state's Legislative Assembly.
  • D. Phusro
    Phusro is a coal-mining and industrial town in the Bokaro district of Jharkhand, India.
  • E. Maufra
    Maufra is a French surname most notably associated with the landscape painter and printmaker Maxime Maufra, linked to the Impressionist and Pont-Aven movements.
  • 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: Jitra
Triple: [Battle of Jitra, location, Jitra]
Generated description
Jitra is a town in the state of Kedah in northern Peninsular Malaysia, historically noted as the site of a major World War II battle between British Commonwealth and Japanese forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jitra
Target entity description: Jitra is a town in the state of Kedah in northern Peninsular Malaysia, historically noted as the site of a major World War II battle between British Commonwealth and Japanese forces.
  • A. Isara
    Isara is the Latin name for the Isar River, a major waterway flowing through the Alps and the city of Munich in Germany.
  • B. Blanga
    Blanga is an Austronesian language spoken primarily on the island of Santa Isabel in the Solomon Islands.
  • C. Mirani
    Mirani is an electoral district in Queensland, Australia, represented in the state's Legislative Assembly.
  • D. Phusro
    Phusro is a coal-mining and industrial town in the Bokaro district of Jharkhand, India.
  • E. Maufra
    Maufra is a French surname most notably associated with the landscape painter and printmaker Maxime Maufra, linked to the Impressionist and Pont-Aven movements.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022aa650c819088d9046b82fab631 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a1d7af8819092e28ce9fb14d1f1 completed March 22, 2026, 9:07 p.m.
NEDg Description generation batch_69c05cabceac819095c4a114220efb1a completed March 22, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_69c05d2b67888190bc89e4cbd384c15f completed March 22, 2026, 9:20 p.m.
Created at: March 22, 2026, 3:41 p.m.