Triple

T653694
Position Surface form Disambiguated ID Type / Status
Subject Nagoya E11598 entity
Predicate hasDistrict P459 FINISHED
Object Sakae
Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
 E107807 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: Sakae | Statement: [Nagoya, hasDistrict, Sakae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sakae
Context triple: [Nagoya, hasDistrict, Sakae]
  • A. Suzuya
    Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • B. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • C. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • D. Hatagaya
    Hatagaya is a residential neighborhood in Tokyo known for its convenient access to central Shibuya and its mix of quiet local streets and urban amenities.
  • E. Satō
    Satō is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • 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: Sakae
Triple: [Nagoya, hasDistrict, Sakae]
Generated description
Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sakae
Target entity description: Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
  • A. Suzuya
    Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • B. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • C. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • D. Hatagaya
    Hatagaya is a residential neighborhood in Tokyo known for its convenient access to central Shibuya and its mix of quiet local streets and urban amenities.
  • E. Satō
    Satō is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4a660c8190b887cb4da01ef7ae completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf498af4819085d494f85adf0825 completed March 4, 2026, 6:20 a.m.
NEDg Description generation batch_69a7cfe2e6ac8190ad26947771829f86 completed March 4, 2026, 6:23 a.m.
NED2 Entity disambiguation (via description) batch_69a7d079234881908826bf24f3c2900a completed March 4, 2026, 6:26 a.m.
Created at: March 1, 2026, 7:36 p.m.