Triple

T10827347
Position Surface form Disambiguated ID Type / Status
Subject Matsue E255527 entity
Predicate hasNickname P39 FINISHED
Object City of Water
City of Water is a poetic nickname for Matsue, a Japanese city famed for its scenic lakes, rivers, and historic canals.
E886840 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: City of Water | Statement: [Matsue, hasNickname, City of Water]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Water
Context triple: [Matsue, hasNickname, City of Water]
  • A. City of the Living Waters
    City of the Living Waters is the nickname of Bislig, a coastal city in the Philippines known for its abundant waterfalls and rich aquatic natural attractions.
  • B. Ciudad de las Aguas Puras
    Ciudad de las Aguas Puras is a traditional nickname highlighting the historically renowned pure water sources of the city of Mayagüez in western Puerto Rico.
  • C. Waterfront
    The Waterfront is a Boston neighborhood along the harbor known for its maritime history, scenic views, and mix of residential, commercial, and tourist destinations.
  • D. Waterfront
    "Waterfront" is a 1983 rock song by Scottish band Simple Minds, known for its driving bassline and anthemic, atmospheric sound.
  • E. Waterfront
    "Waterfront" is a 1939 American crime drama film starring Preston Foster, set against a gritty dockside backdrop of labor strife and personal conflict.
  • 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: City of Water
Triple: [Matsue, hasNickname, City of Water]
Generated description
City of Water is a poetic nickname for Matsue, a Japanese city famed for its scenic lakes, rivers, and historic canals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: City of Water
Target entity description: City of Water is a poetic nickname for Matsue, a Japanese city famed for its scenic lakes, rivers, and historic canals.
  • A. City of the Living Waters
    City of the Living Waters is the nickname of Bislig, a coastal city in the Philippines known for its abundant waterfalls and rich aquatic natural attractions.
  • B. Ciudad de las Aguas Puras
    Ciudad de las Aguas Puras is a traditional nickname highlighting the historically renowned pure water sources of the city of Mayagüez in western Puerto Rico.
  • C. Waterfront
    The Waterfront is a Boston neighborhood along the harbor known for its maritime history, scenic views, and mix of residential, commercial, and tourist destinations.
  • D. Waterfront
    "Waterfront" is a 1983 rock song by Scottish band Simple Minds, known for its driving bassline and anthemic, atmospheric sound.
  • E. Waterfront
    "Waterfront" is a 1939 American crime drama film starring Preston Foster, set against a gritty dockside backdrop of labor strife and personal conflict.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d2b9f88190b79a7b168d7836c8 completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8592d8f08190ac577395ad7cc557 completed April 14, 2026, 6:21 p.m.
NEDg Description generation batch_69de8956d9f081909d076c5e413c1f74 completed April 14, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69de8e80fe80819088ac76bb5abc58f0 completed April 14, 2026, 6:59 p.m.
Created at: April 8, 2026, 9:19 p.m.