Triple

T26583465
Position Surface form Disambiguated ID Type / Status
Subject Chuo City, Tokyo E667140 entity
Predicate hasReclaimedLandArea P16193 FINISHED
Object Harumi district
Harumi district is a waterfront neighborhood in Tokyo’s Chuo ward known for its large-scale urban redevelopment and role in housing facilities for the Tokyo 2020 Olympic and Paralympic Games.
 E1873152 NE FINISHED

How this triple was built (3 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: Harumi district | Statement: [Chuo City, Tokyo, hasReclaimedLandArea, Harumi district]
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: Harumi district
Triple: [Chuo City, Tokyo, hasReclaimedLandArea, Harumi district]
Generated description
Harumi district is a waterfront neighborhood in Tokyo’s Chuo ward known for its large-scale urban redevelopment and role in housing facilities for the Tokyo 2020 Olympic and Paralympic Games.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasReclaimedLandArea
Context triple: [Chuo City, Tokyo, hasReclaimedLandArea, Harumi district]
  • A. hasLandReclamation chosen
    Indicates that an entity has carried out, is involved in, or is characterized by the process of creating new land from oceans, rivers, or other water bodies.
  • B. grantedLandArea
    Indicates that a specific area of land has been formally allocated or given by one party to another.
  • C. acquiredLandArea
    Indicates the total area of land that has been obtained or taken possession of through an acquisition.
  • D. leasedLandFor
    Indicates that one party has granted another party the right to use a piece of land for a specified period under a lease agreement.
  • E. cededLandArea
    Indicates that one party has transferred control or ownership of a specified land area to another party, typically through a formal agreement or treaty.
  • F. None of above.

Provenance (6 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_69ee9cfb7e548190b60a9031182f5a7e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69fddac4e2f48190a9301d3422658b29 completed May 8, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a260bf2a7908190a85d232c9cd2281d completed June 8, 2026, 12:25 a.m.
NEDg Description generation batch_6a26184352288190aa777cc3a13d8412 completed June 8, 2026, 1:17 a.m.
NED2 Entity disambiguation (via description) batch_6a26189229c08190a9ad8cfafbae2251 completed June 8, 2026, 1:19 a.m.
PD Predicate disambiguation batch_69fdda06969c8190b5d033964ea2a690 completed May 8, 2026, 12:41 p.m.
Created at: April 27, 2026, 2:04 a.m.