Triple

T3001859
Position Surface form Disambiguated ID Type / Status
Subject Israel Border Police E81805 entity
Predicate alsoKnownAs P39 FINISHED
Object Magav
Magav is the Hebrew name for Israel’s Border Police, a gendarmerie-style force responsible for border security, counterterrorism, and law enforcement in sensitive areas.
 E319271 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: Magav | Statement: [Israel Border Police, alsoKnownAs, Magav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Magav
Context triple: [Israel Border Police, alsoKnownAs, Magav]
  • A. Mata
    Mata is a title used in certain South Asian cultural and religious contexts, often signifying a revered mother figure or goddess.
  • B. Mvezo
    Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
  • C. Mightylele
    "Mightylele" is a popular dancehall/reggae track by Ghanaian artist Stonebwoy, known for its energetic rhythm and catchy, Afrobeat-infused style.
  • D. Máfil
    Máfil is a small town and commune located in southern Chile's Los Ríos Region, known for its rural character and forestry-based economy.
  • E. Miga
    Miga is one of the official mascots of the 2010 Winter Olympics in Vancouver, depicted as a playful sea bear inspired by orcas and First Nations legends.
  • 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: Magav
Triple: [Israel Border Police, alsoKnownAs, Magav]
Generated description
Magav is the Hebrew name for Israel’s Border Police, a gendarmerie-style force responsible for border security, counterterrorism, and law enforcement in sensitive areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Magav
Target entity description: Magav is the Hebrew name for Israel’s Border Police, a gendarmerie-style force responsible for border security, counterterrorism, and law enforcement in sensitive areas.
  • A. Mata
    Mata is a title used in certain South Asian cultural and religious contexts, often signifying a revered mother figure or goddess.
  • B. Mvezo
    Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
  • C. Mightylele
    "Mightylele" is a popular dancehall/reggae track by Ghanaian artist Stonebwoy, known for its energetic rhythm and catchy, Afrobeat-infused style.
  • D. Máfil
    Máfil is a small town and commune located in southern Chile's Los Ríos Region, known for its rural character and forestry-based economy.
  • E. Miga
    Miga is one of the official mascots of the 2010 Winter Olympics in Vancouver, depicted as a playful sea bear inspired by orcas and First Nations legends.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a11b4bc81909ce06121361b4e0f completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e4f02248190890eb3944299bd15 completed March 11, 2026, 8:56 a.m.
NEDg Description generation batch_69b12eb153b481909251dd72a7ca55d4 completed March 11, 2026, 8:58 a.m.
NED2 Entity disambiguation (via description) batch_69b1d65c9550819081e8734cece6ff13 completed March 11, 2026, 8:53 p.m.
Created at: March 8, 2026, 2:59 p.m.