Triple

T2701170
Position Surface form Disambiguated ID Type / Status
Subject Israel Defense Forces E59229 entity
Predicate hasSpecialUnit P1198 FINISHED
Object Maglan
Maglan is an elite Israeli special forces unit known for conducting deep reconnaissance and precision strike missions behind enemy lines.
 E290766 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: Maglan | Statement: [Israel Defense Forces, hasSpecialUnit, Maglan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maglan
Context triple: [Israel Defense Forces, hasSpecialUnit, Maglan]
  • A. Perlan
    Perlan is a prominent glass-domed landmark in Reykjavík that houses exhibitions, a planetarium, and panoramic viewing decks showcasing Icelandic nature and the city skyline.
  • B. Equair
    Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
  • C. Wākea
    Wākea is a prominent figure in Hawaiian mythology, often regarded as the sky father and a creator deity associated with the origins of the Hawaiian Islands and their people.
  • D. Orneta
    Orneta is a small historic town in northern Poland known for its medieval architecture and location within the picturesque Warmian-Masurian region.
  • E. Haynrode
    Haynrode is a small village in the German state of Thuringia.
  • 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: Maglan
Triple: [Israel Defense Forces, hasSpecialUnit, Maglan]
Generated description
Maglan is an elite Israeli special forces unit known for conducting deep reconnaissance and precision strike missions behind enemy lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maglan
Target entity description: Maglan is an elite Israeli special forces unit known for conducting deep reconnaissance and precision strike missions behind enemy lines.
  • A. Perlan
    Perlan is a prominent glass-domed landmark in Reykjavík that houses exhibitions, a planetarium, and panoramic viewing decks showcasing Icelandic nature and the city skyline.
  • B. Equair
    Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
  • C. Wākea
    Wākea is a prominent figure in Hawaiian mythology, often regarded as the sky father and a creator deity associated with the origins of the Hawaiian Islands and their people.
  • D. Orneta
    Orneta is a small historic town in northern Poland known for its medieval architecture and location within the picturesque Warmian-Masurian region.
  • E. Haynrode
    Haynrode is a small village in the German state of Thuringia.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda4c8d34819094f5e4cbc5a4bb9b completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf7446f08190b5e073278725d1f4 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb01c248c81909af7358da96aa588 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0ae71888190ab0675b7897f1589 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:55 p.m.