Triple

T33427407
Position Surface form Disambiguated ID Type / Status
Subject Shitamachi area of Tokyo E856024 entity
Predicate associatedWith P37 FINISHED
Object Tokyo Bay lowlands
The Tokyo Bay lowlands are a flat, densely urbanized coastal plain in and around Tokyo, historically home to working-class neighborhoods and waterways that shaped the city’s commercial and cultural development.
E2051657 NE FINISHED

How this triple was built (2 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: Tokyo Bay lowlands | Statement: [Shitamachi area of Tokyo, associatedWith, Tokyo Bay lowlands]
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: Tokyo Bay lowlands
Triple: [Shitamachi area of Tokyo, associatedWith, Tokyo Bay lowlands]
Generated description
The Tokyo Bay lowlands are a flat, densely urbanized coastal plain in and around Tokyo, historically home to working-class neighborhoods and waterways that shaped the city’s commercial and cultural development.

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_69f349709e7881908c342b4d34f555f4 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e45e1110819092227148f9f913f3 completed May 3, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a358153e6808190982a021ebb881722 completed June 19, 2026, 5:50 p.m.
NEDg Description generation batch_6a3582828d68819090dd5550a9a52db4 completed June 19, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_6a3582f3203081909181daf41c575a0f completed June 19, 2026, 5:57 p.m.
Created at: May 1, 2026, 1:36 a.m.