Triple

T8812215
Position Surface form Disambiguated ID Type / Status
Subject Belgrade Lakes region E209691 entity
Predicate hasPart P35 FINISHED
Object Belgrade village
Belgrade village is a small community in Maine that serves as one of the central settlements within the scenic Belgrade Lakes region.
 E758072 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: Belgrade village | Statement: [Belgrade Lakes region, hasPart, Belgrade village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belgrade village
Context triple: [Belgrade Lakes region, hasPart, Belgrade village]
  • A. Shipki village
    Shipki village is a small Himalayan settlement in Himachal Pradesh, India, located near the India–China border and known as a traditional Indo-Tibetan trade point.
  • B. Lazarevac
    Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
  • C. Mladenovac
    Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
  • D. Baroševac
    Baroševac is a village located within the Lazarevac municipality in the Belgrade District of Serbia.
  • E. Obrenovac
    Obrenovac is a suburban municipality of Belgrade in Serbia, known for its industrial facilities and proximity to the Sava River.
  • 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: Belgrade village
Triple: [Belgrade Lakes region, hasPart, Belgrade village]
Generated description
Belgrade village is a small community in Maine that serves as one of the central settlements within the scenic Belgrade Lakes region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Belgrade village
Target entity description: Belgrade village is a small community in Maine that serves as one of the central settlements within the scenic Belgrade Lakes region.
  • A. Shipki village
    Shipki village is a small Himalayan settlement in Himachal Pradesh, India, located near the India–China border and known as a traditional Indo-Tibetan trade point.
  • B. Lazarevac
    Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
  • C. Mladenovac
    Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
  • D. Baroševac
    Baroševac is a village located within the Lazarevac municipality in the Belgrade District of Serbia.
  • E. Obrenovac
    Obrenovac is a suburban municipality of Belgrade in Serbia, known for its industrial facilities and proximity to the Sava River.
  • 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5feed07881909bbe116ae359346a completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6fb26b148190b66b7138cdf9c97b completed April 3, 2026, 7:43 a.m.
NEDg Description generation batch_69cf70c981808190856827fbcd4c4671 completed April 3, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69cf71914ec48190bd623d8d773e7ca7 completed April 3, 2026, 7:51 a.m.
Created at: March 30, 2026, 6:45 p.m.