Triple

T19478612
Position Surface form Disambiguated ID Type / Status
Subject Names of Singapore E487318 entity
Predicate hasName P744 FINISHED
Object Syonan-to
Syonan-to was the name used by Imperial Japan for Singapore during its World War II occupation from 1942 to 1945.
E110623 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: Syonan-to | Statement: [Names of Singapore, hasName, Syonan-to]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syonan-to
Context triple: [Names of Singapore, hasName, Syonan-to]
  • A. Enyō
    Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
  • B. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • C. Seiyo
    Seiyo is a city located in western Shikoku, Japan, known for its rural landscapes, terraced fields, and coastal scenery along the Uwa Sea.
  • D. Sankashū
    Sankashū is a renowned anthology of waka poetry by the Japanese poet-monk Saigyō, celebrated for its deeply reflective and nature-focused verse from the late Heian period.
  • E. Senyuuji
    Senyuuji is a Buddhist temple in Japan, known as Temple 58 on the Shikoku Pilgrimage route.
  • 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: Syonan-to
Triple: [Names of Singapore, hasName, Syonan-to]
Generated description
Syonan-to was the name used by Imperial Japan for Singapore during its World War II occupation from 1942 to 1945.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Syonan-to
Target entity description: Syonan-to was the name used by Imperial Japan for Singapore during its World War II occupation from 1942 to 1945.
  • A. Syonan-to chosen
    Syonan-to was the name given by Imperial Japan to Singapore during its World War II occupation from 1942 to 1945.
  • B. Enyō
    Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
  • C. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • D. Seiyo
    Seiyo is a city located in western Shikoku, Japan, known for its rural landscapes, terraced fields, and coastal scenery along the Uwa Sea.
  • E. Sankashū
    Sankashū is a renowned anthology of waka poetry by the Japanese poet-monk Saigyō, celebrated for its deeply reflective and nature-focused verse from the late Heian period.
  • F. None of above.

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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63437b9748190a8fc6bf6b3d90918 completed April 20, 2026, 2:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074053f7b48190a726ef5e285ed62a completed May 15, 2026, 3:48 p.m.
NEDg Description generation batch_6a07412a04d0819087c4dc7b5f2742ad completed May 15, 2026, 3:52 p.m.
NED2 Entity disambiguation (via description) batch_6a074197aa14819096a74aab7bca9e3c completed May 15, 2026, 3:53 p.m.
Created at: April 10, 2026, 1:39 p.m.