Triple

T17165353
Position Surface form Disambiguated ID Type / Status
Subject Milutin E416593 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Mile
Mile is a South Slavic masculine given name, commonly used as a diminutive or affectionate form of longer names such as Milutin.
E1254119 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: [Milutin, hasDiminutiveForm, Mile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mile
Context triple: [Milutin, hasDiminutiveForm, Mile]
  • A. 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.
  • B. 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.”
  • C. One Mile
    One Mile is a residential suburb within the Ipswich region of Queensland, Australia, known for its local community amenities and proximity to the Ipswich city centre.
  • D. Milles
    Milles is a surname and variant of "Mills" that appears in English-speaking contexts.
  • E. Kilo
    Kilo is a hip-hop track by Clipse known for its vivid, metaphor-laden depictions of cocaine dealing.
  • 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: [Milutin, hasDiminutiveForm, Mile]
Generated description
Mile is a South Slavic masculine given name, commonly used as a diminutive or affectionate form of longer names such as Milutin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mile
Target entity description: Mile is a South Slavic masculine given name, commonly used as a diminutive or affectionate form of longer names such as Milutin.
  • A. 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.
  • B. 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.”
  • C. One Mile
    One Mile is a residential suburb within the Ipswich region of Queensland, Australia, known for its local community amenities and proximity to the Ipswich city centre.
  • D. Milles
    Milles is a surname and variant of "Mills" that appears in English-speaking contexts.
  • E. Kilo
    Kilo is a hip-hop track by Clipse known for its vivid, metaphor-laden depictions of cocaine dealing.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f914a0748190b2658edbe576ea2d completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483b827081909619ea691c4c0e1e completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a014a2f8fec8190b1303967a76ceb63 completed May 11, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_6a014ab0be388190a6ce49cff469fe81 completed May 11, 2026, 3:19 a.m.
Created at: April 10, 2026, 5:37 a.m.