Triple

T21009665
Position Surface form Disambiguated ID Type / Status
Subject Fukuoka-Kitakyushu metropolitan area E517511 entity
Predicate hasMajorCity P316 FINISHED
Object Sue
Sue is a town in Fukuoka Prefecture, Japan, that forms part of the greater Fukuoka–Kitakyushu metropolitan region.
 E1461592 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: Sue | Statement: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Sue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sue
Context triple: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Sue]
  • A. Sue
    Sue is the given name of Sue Storm, the Invisible Woman and a central member of Marvel’s superhero team the Fantastic Four.
  • B. Sue
    Sue is a character from the dark comedy film "Bad Santa," known as the love interest of the main antihero, Willie T. Soke.
  • C. Sue
    Sue is the middle name of Australian conservationist and television personality Bindi Irwin, daughter of the late Steve Irwin.
  • D. Sue
    Sue is a common English given name, typically used as a short form of Susanna or Susan.
  • E. Sue
    Sue is a character in the British stage play and film "Abigail's Party," known as a polite, somewhat reserved neighbor who becomes an awkward guest at a disastrous suburban drinks party.
  • 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: Sue
Triple: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Sue]
Generated description
Sue is a town in Fukuoka Prefecture, Japan, that forms part of the greater Fukuoka–Kitakyushu metropolitan region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sue
Target entity description: Sue is a town in Fukuoka Prefecture, Japan, that forms part of the greater Fukuoka–Kitakyushu metropolitan region.
  • A. Sue
    Sue is a common English given name, typically used as a short form of Susanna or Susan.
  • B. Sue
    Sue is a character in the British stage play and film "Abigail's Party," known as a polite, somewhat reserved neighbor who becomes an awkward guest at a disastrous suburban drinks party.
  • C. Sue
    Sue is the given name of Sue Storm, the Invisible Woman and a central member of Marvel’s superhero team the Fantastic Four.
  • D. Sue
    Sue is a character from the dark comedy film "Bad Santa," known as the love interest of the main antihero, Willie T. Soke.
  • E. Sue
    Sue is the middle name of Australian conservationist and television personality Bindi Irwin, daughter of the late Steve Irwin.
  • 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc3edc548190987a6c2c9936286a completed April 21, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a093b5e76508190bec3a12c06c18d39 completed May 17, 2026, 3:51 a.m.
NEDg Description generation batch_6a093cefdbec81909905a866b99e6c5b completed May 17, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_6a093d595f44819096effb5bead8713e completed May 17, 2026, 4 a.m.
Created at: April 16, 2026, 1:53 p.m.