Triple

T18900375
Position Surface form Disambiguated ID Type / Status
Subject Israel national football team E462322 entity
Predicate nickname P55 FINISHED
Object HaNivcheret
HaNivcheret is the popular Hebrew nickname for Israel’s national football team.
E1347800 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: HaNivcheret | Statement: [Israel national football team, nickname, HaNivcheret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HaNivcheret
Context triple: [Israel national football team, nickname, HaNivcheret]
  • A. Nirtzah
    Nirtzah is the concluding section of the Passover Haggadah, featuring songs, prayers, and expressions of hope for future redemption.
  • B. Nechama
    Nechama is a Hebrew feminine given name commonly used in Israel and Jewish communities worldwide.
  • C. Rehavia
    Rehavia is a historic, centrally located Jerusalem neighborhood known for its leafy streets, Bauhaus-style architecture, and mix of intellectual, political, and cultural residents.
  • D. Savyon
    Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
  • E. Tevot
    Tevot is a large-scale orchestral work by contemporary British composer Thomas Adès, noted for its dense textures, complex rhythms, and cosmic, journey-like structure.
  • 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: HaNivcheret
Triple: [Israel national football team, nickname, HaNivcheret]
Generated description
HaNivcheret is the popular Hebrew nickname for Israel’s national football team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HaNivcheret
Target entity description: HaNivcheret is the popular Hebrew nickname for Israel’s national football team.
  • A. Nirtzah
    Nirtzah is the concluding section of the Passover Haggadah, featuring songs, prayers, and expressions of hope for future redemption.
  • B. Nechama
    Nechama is a Hebrew feminine given name commonly used in Israel and Jewish communities worldwide.
  • C. Rehavia
    Rehavia is a historic, centrally located Jerusalem neighborhood known for its leafy streets, Bauhaus-style architecture, and mix of intellectual, political, and cultural residents.
  • D. Savyon
    Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
  • E. Tevot
    Tevot is a large-scale orchestral work by contemporary British composer Thomas Adès, noted for its dense textures, complex rhythms, and cosmic, journey-like structure.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c5289ba48190a6825c4db2e5e48d completed April 20, 2026, 6:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0582bad1c48190b01afdb8e70883bd completed May 14, 2026, 8:07 a.m.
NEDg Description generation batch_6a0584717b3c81908049e6590f7f96ec completed May 14, 2026, 8:14 a.m.
NED2 Entity disambiguation (via description) batch_6a05852c2bbc8190ae7b8658817b5972 completed May 14, 2026, 8:17 a.m.
Created at: April 10, 2026, 11:58 a.m.