Triple

T2463644
Position Surface form Disambiguated ID Type / Status
Subject Meguro, Tokyo, Japan E55190 entity
Predicate hasDistrict P459 FINISHED
Object Himonya
Himonya is a residential neighborhood in Meguro, Tokyo, known for its quiet streets, local shopping streets, and the Himonya Park and pond area.
 E268150 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: Himonya | Statement: [Meguro, Tokyo, Japan, hasDistrict, Himonya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Himonya
Context triple: [Meguro, Tokyo, Japan, hasDistrict, Himonya]
  • A. Ngamo
    Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • B. Ovilava
    Ovilava was a major Roman-era city in the province of Noricum, located at the site of modern Wels in present-day Austria.
  • C. Huraymila
    Huraymila is a small town in central Saudi Arabia known for its traditional character and location within the greater Riyadh region.
  • D. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • E. Bisha
    Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
  • 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: Himonya
Triple: [Meguro, Tokyo, Japan, hasDistrict, Himonya]
Generated description
Himonya is a residential neighborhood in Meguro, Tokyo, known for its quiet streets, local shopping streets, and the Himonya Park and pond area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Himonya
Target entity description: Himonya is a residential neighborhood in Meguro, Tokyo, known for its quiet streets, local shopping streets, and the Himonya Park and pond area.
  • A. Ngamo
    Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • B. Ovilava
    Ovilava was a major Roman-era city in the province of Noricum, located at the site of modern Wels in present-day Austria.
  • C. Huraymila
    Huraymila is a small town in central Saudi Arabia known for its traditional character and location within the greater Riyadh region.
  • D. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • E. Bisha
    Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd12059788190a6493f64bb725aed completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0d6ed7481909e900f947463d5d8 completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef186935c81909301659a96e1a4e2 completed March 9, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_69aef8272668819084626e890a49e1b3 completed March 9, 2026, 4:41 p.m.
Created at: March 6, 2026, 9:44 p.m.