Triple

T8262535
Position Surface form Disambiguated ID Type / Status
Subject Matmid Frequent Flyer Club E193227 entity
Predicate hasTier P2393 FINISHED
Object Matmid Silver
Matmid Silver is an intermediate elite status level in EL AL's Matmid Frequent Flyer Club that offers members enhanced travel benefits and rewards.
 E722216 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: Matmid Silver | Statement: [Matmid Frequent Flyer Club, hasTier, Matmid Silver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matmid Silver
Context triple: [Matmid Frequent Flyer Club, hasTier, Matmid Silver]
  • A. Silver Dragon
    The Silver Dragon is a prestigious award presented at the Kraków Film Festival, recognizing outstanding achievements in short film.
  • B. Muchita
    Muchita is a surname, notably borne by individuals such as the artist known as Havoc.
  • C. Unryu
    Unryu was a World War II-era Imperial Japanese Navy aircraft carrier that served in the Pacific Theater.
  • D. Masaru
    Masaru is a Japanese given name commonly used for males and borne by various notable figures in fields such as technology, sports, and entertainment.
  • E. Sliver
    Sliver is a 1993 erotic thriller film, based on an Ira Levin novel and starring Sharon Stone, about a woman who discovers disturbing surveillance and secrets in her New York apartment building.
  • 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: Matmid Silver
Triple: [Matmid Frequent Flyer Club, hasTier, Matmid Silver]
Generated description
Matmid Silver is an intermediate elite status level in EL AL's Matmid Frequent Flyer Club that offers members enhanced travel benefits and rewards.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matmid Silver
Target entity description: Matmid Silver is an intermediate elite status level in EL AL's Matmid Frequent Flyer Club that offers members enhanced travel benefits and rewards.
  • A. Silver Dragon
    The Silver Dragon is a prestigious award presented at the Kraków Film Festival, recognizing outstanding achievements in short film.
  • B. Muchita
    Muchita is a surname, notably borne by individuals such as the artist known as Havoc.
  • C. Unryu
    Unryu was a World War II-era Imperial Japanese Navy aircraft carrier that served in the Pacific Theater.
  • D. Masaru
    Masaru is a Japanese given name commonly used for males and borne by various notable figures in fields such as technology, sports, and entertainment.
  • E. Sliver
    Sliver is a 1993 erotic thriller film, based on an Ira Levin novel and starring Sharon Stone, about a woman who discovers disturbing surveillance and secrets in her New York apartment building.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7938723081909379cf78a4449b80 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3573cee48190b72bdcdc433db93e completed April 1, 2026, 3:10 p.m.
NEDg Description generation batch_69cd37a7ea30819094b1c140868fab5f completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4f09a7a8819096ae509767ca61ee completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:49 p.m.