Triple

T8725018
Position Surface form Disambiguated ID Type / Status
Subject Honghe E207108 entity
Predicate contains P35 FINISHED
Object Mile
Mile is a county-level city in Honghe Hani and Yi Autonomous Prefecture in Yunnan Province, southwestern China, known for its ethnic diversity and scenic landscapes.
 E753014 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: Mile | Statement: [Honghe, contains, Mile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mile
Context triple: [Honghe, contains, Mile]
  • A. Meilen
    Meilen is a municipality in the canton of Zurich, Switzerland, situated on the northern shore of Lake Zurich and known as part of the region’s affluent “Gold Coast.”
  • B. Milles
    Milles is a surname and variant of "Mills" that appears in English-speaking contexts.
  • C. Miles
    Miles is the official horse-themed mascot of the NFL’s Denver Broncos, known for entertaining fans at games and team events.
  • D. Miles
    Miles is the surname of Ken Miles, the renowned British sports car racing engineer and driver closely associated with Shelby American and Ford’s GT racing program.
  • E. Miles
    Miles is a supporting character in the 1997 film "Soul Food," which centers on the trials, relationships, and traditions of an extended African-American family in Chicago.
  • 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: Mile
Triple: [Honghe, contains, Mile]
Generated description
Mile is a county-level city in Honghe Hani and Yi Autonomous Prefecture in Yunnan Province, southwestern China, known for its ethnic diversity and scenic landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mile
Target entity description: Mile is a county-level city in Honghe Hani and Yi Autonomous Prefecture in Yunnan Province, southwestern China, known for its ethnic diversity and scenic landscapes.
  • A. Meilen
    Meilen is a municipality in the canton of Zurich, Switzerland, situated on the northern shore of Lake Zurich and known as part of the region’s affluent “Gold Coast.”
  • B. Milles
    Milles is a surname and variant of "Mills" that appears in English-speaking contexts.
  • C. Miles
    Miles is the official horse-themed mascot of the NFL’s Denver Broncos, known for entertaining fans at games and team events.
  • D. Miles
    Miles is the surname of Ken Miles, the renowned British sports car racing engineer and driver closely associated with Shelby American and Ford’s GT racing program.
  • E. Miles
    Miles are the reward points earned and redeemed by members of the Flying Blue frequent flyer loyalty program.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d1404948190bc45d14a1ddb1a7e completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf2908fec08190a286a082060a47bc completed April 3, 2026, 2:42 a.m.
NEDg Description generation batch_69cf2bd32cc881909ac8a61befa9929e completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2c69f83481909423858668d03a8b completed April 3, 2026, 2:56 a.m.
Created at: March 30, 2026, 6:36 p.m.