Triple

T2457537
Position Surface form Disambiguated ID Type / Status
Subject Sakai, Osaka Prefecture, Japan E54456 entity
Predicate borderedBy P224 FINISHED
Object Hannan
Hannan is a coastal city in southern Osaka Prefecture, Japan, known for its fishing industry and proximity to Osaka Bay.
 E269090 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: Hannan | Statement: [Sakai, Osaka Prefecture, Japan, borderedBy, Hannan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hannan
Context triple: [Sakai, Osaka Prefecture, Japan, borderedBy, Hannan]
  • A. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • B. Douglas
    Douglas is a small lakeside city in Allegan County, Michigan, known for its arts community and proximity to Lake Michigan beaches.
  • C. Douglas
    Douglas is a small community located on Douglas Island across from downtown Juneau in southeastern Alaska.
  • D. Douglas
    Douglas is a narrow-gauge steam locomotive that operates on the historic Talyllyn Railway in Wales.
  • E. Douglas
    Douglas is the capital and largest town of the Isle of Man, serving as its main commercial center and principal ferry port.
  • 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: Hannan
Triple: [Sakai, Osaka Prefecture, Japan, borderedBy, Hannan]
Generated description
Hannan is a coastal city in southern Osaka Prefecture, Japan, known for its fishing industry and proximity to Osaka Bay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hannan
Target entity description: Hannan is a coastal city in southern Osaka Prefecture, Japan, known for its fishing industry and proximity to Osaka Bay.
  • A. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • B. Douglas
    Douglas is the capital and largest town of the Isle of Man, serving as its main commercial center and principal ferry port.
  • C. Douglas
    Douglas is a small lakeside city in Allegan County, Michigan, known for its arts community and proximity to Lake Michigan beaches.
  • D. Douglas
    Douglas is a small community located on Douglas Island across from downtown Juneau in southeastern Alaska.
  • E. Douglas
    Douglas is a narrow-gauge steam locomotive that operates on the historic Talyllyn Railway in Wales.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd10860188190bfc4c554914487b4 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0cd7adc8190b855eb28285fefc5 completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef53740508190893b14bb1b411a30 completed March 9, 2026, 4:28 p.m.
NED2 Entity disambiguation (via description) batch_69aef9594024819088e7afc0e64429ff completed March 9, 2026, 4:46 p.m.
Created at: March 6, 2026, 9:44 p.m.