Triple

T1595915
Position Surface form Disambiguated ID Type / Status
Subject Shiga E34281 entity
Predicate hasCity P316 FINISHED
Object Taga
Taga is a town in Shiga Prefecture, Japan, known for its historic Taga Taisha shrine and scenic rural surroundings.
 E183242 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: Taga | Statement: [Shiga, hasCity, Taga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taga
Context triple: [Shiga, hasCity, Taga]
  • A. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • B. Kura
    Kura is a major river in the South Caucasus that flows through Turkey, Georgia, and Azerbaijan before emptying into the Caspian Sea.
  • C. Yenakiieve
    Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
  • D. Tamana
    Tamana is one of the southernmost coral atolls of Kiribati, known for its small size, traditional I-Kiribati culture, and remote Pacific Ocean location.
  • E. Apsua
    Apsua is the endonym used by the Abkhazian people to refer to themselves and their language.
  • 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: Taga
Triple: [Shiga, hasCity, Taga]
Generated description
Taga is a town in Shiga Prefecture, Japan, known for its historic Taga Taisha shrine and scenic rural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taga
Target entity description: Taga is a town in Shiga Prefecture, Japan, known for its historic Taga Taisha shrine and scenic rural surroundings.
  • A. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • B. Kura
    Kura is a major river in the South Caucasus that flows through Turkey, Georgia, and Azerbaijan before emptying into the Caspian Sea.
  • C. Yenakiieve
    Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
  • D. Tamana
    Tamana is one of the southernmost coral atolls of Kiribati, known for its small size, traditional I-Kiribati culture, and remote Pacific Ocean location.
  • E. Apsua
    Apsua is the endonym used by the Abkhazian people to refer to themselves and their language.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9092ccb388190b2f3ed86b3853651 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51b9c6588190810ede38d9e714e2 completed March 8, 2026, 10:38 a.m.
NEDg Description generation batch_69ad52d3e4e881908b107f02cd674321 completed March 8, 2026, 10:43 a.m.
NED2 Entity disambiguation (via description) batch_69ad5376fdac819084fa606fc670d531 completed March 8, 2026, 10:46 a.m.
Created at: March 4, 2026, 7:27 p.m.