Triple

T11168674
Position Surface form Disambiguated ID Type / Status
Subject Sayeret Matkal E264219 entity
Predicate nativeName P15 FINISHED
Object סיירת מטכ"ל
סיירת מטכ"ל היא יחידת הקומנדו המובחרת של צה"ל המתמחה במבצעים מיוחדים, מודיעין ופעולות מעבר לקווי האויב.
 E908784 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: סיירת מטכ"ל | Statement: [Sayeret Matkal, nativeName, סיירת מטכ"ל]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: סיירת מטכ"ל
Context triple: [Sayeret Matkal, nativeName, סיירת מטכ"ל]
  • A. Har HaTzofim
    Har HaTzofim is the Hebrew name for Mount Scopus, a prominent ridge in northeast Jerusalem known for its historic, strategic, and academic significance.
  • B. Tel HaShomer
    Tel HaShomer is a neighborhood in Ramat Gan, Israel, best known for its major military base and large government-run hospital complex.
  • C. Hatzerim
    Hatzerim is a kibbutz in Israel’s Negev desert, known for its nearby Israeli Air Force base and the Israel Air Force Museum.
  • D. Returning to Haifa
    "Returning to Haifa" is a seminal Palestinian novella by Ghassan Kanafani that explores themes of displacement, identity, and the legacy of the 1948 Nakba through the story of a refugee couple revisiting their former home.
  • E. Hod HaSharon
    Hod HaSharon is a city in central Israel, known as a suburban community within the Tel Aviv metropolitan area.
  • 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: סיירת מטכ"ל
Triple: [Sayeret Matkal, nativeName, סיירת מטכ"ל]
Generated description
סיירת מטכ"ל היא יחידת הקומנדו המובחרת של צה"ל המתמחה במבצעים מיוחדים, מודיעין ופעולות מעבר לקווי האויב.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: סיירת מטכ"ל
Target entity description: סיירת מטכ"ל היא יחידת הקומנדו המובחרת של צה"ל המתמחה במבצעים מיוחדים, מודיעין ופעולות מעבר לקווי האויב.
  • A. Har HaTzofim
    Har HaTzofim is the Hebrew name for Mount Scopus, a prominent ridge in northeast Jerusalem known for its historic, strategic, and academic significance.
  • B. Tel HaShomer
    Tel HaShomer is a neighborhood in Ramat Gan, Israel, best known for its major military base and large government-run hospital complex.
  • C. Hatzerim
    Hatzerim is a kibbutz in Israel’s Negev desert, known for its nearby Israeli Air Force base and the Israel Air Force Museum.
  • D. Returning to Haifa
    "Returning to Haifa" is a seminal Palestinian novella by Ghassan Kanafani that explores themes of displacement, identity, and the legacy of the 1948 Nakba through the story of a refugee couple revisiting their former home.
  • E. Hod HaSharon
    Hod HaSharon is a city in central Israel, known as a suburban community within the Tel Aviv metropolitan area.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8952e248190b0751669e8c960b7 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463a2e2fc819086126b681d86e94b completed April 19, 2026, 5:09 a.m.
NEDg Description generation batch_69e46c37efec81908aa709587c37569d completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e47292cdd08190b05c4c8b09f4f918 completed April 19, 2026, 6:13 a.m.
Created at: April 8, 2026, 9:29 p.m.