Triple

T16750012
Position Surface form Disambiguated ID Type / Status
Subject Surčin municipality E407047 entity
Predicate contains P35 FINISHED
Object Becmen
Becmen is a village in the Surčin municipality of Belgrade, Serbia.
E1232591 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: Becmen | Statement: [Surčin municipality, contains, Becmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Becmen
Context triple: [Surčin municipality, contains, Becmen]
  • A. Barmedman
    Barmedman is a small rural town in the Riverina region of New South Wales, Australia, known historically for its wheat farming and mineral springs.
  • B. Bem
    Bem is a character from the "What Where" segment of Samuel Beckett’s television play, representing one of the indistinct figures involved in its cryptic, minimalist drama.
  • C. Beenieman
    Beenieman is a prominent Jamaican dancehall deejay and reggae artist often referred to as the "King of Dancehall."
  • D. Blemmyes
    The Blemmyes were an ancient nomadic people of Nubia and the Eastern Desert, often depicted in classical sources as headless warriors with faces on their chests.
  • E. Cenomani
    The Cenomani were an ancient Celtic people who settled in northern Italy, particularly in the region later known as Cisalpine Gaul, and interacted extensively with both neighboring tribes and the expanding Roman Republic.
  • 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: Becmen
Triple: [Surčin municipality, contains, Becmen]
Generated description
Becmen is a village in the Surčin municipality of Belgrade, Serbia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Becmen
Target entity description: Becmen is a village in the Surčin municipality of Belgrade, Serbia.
  • A. Barmedman
    Barmedman is a small rural town in the Riverina region of New South Wales, Australia, known historically for its wheat farming and mineral springs.
  • B. Bem
    Bem is a character from the "What Where" segment of Samuel Beckett’s television play, representing one of the indistinct figures involved in its cryptic, minimalist drama.
  • C. Beenieman
    Beenieman is a prominent Jamaican dancehall deejay and reggae artist often referred to as the "King of Dancehall."
  • D. Blemmyes
    The Blemmyes were an ancient nomadic people of Nubia and the Eastern Desert, often depicted in classical sources as headless warriors with faces on their chests.
  • E. Cenomani
    The Cenomani were an ancient Celtic people who settled in northern Italy, particularly in the region later known as Cisalpine Gaul, and interacted extensively with both neighboring tribes and the expanding Roman Republic.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa265a908190a87fa4612bfe6396 completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a522255c8190ab16d7ad233fcd3b completed May 10, 2026, 3:32 p.m.
NEDg Description generation batch_6a00a6b2d7b08190841de0e849eac604 completed May 10, 2026, 3:39 p.m.
NED2 Entity disambiguation (via description) batch_6a00a761530481909b27b6844d2324f0 completed May 10, 2026, 3:42 p.m.
Created at: April 10, 2026, 5:21 a.m.