Triple

T6895821
Position Surface form Disambiguated ID Type / Status
Subject Yishuv E159167 entity
Predicate hasPart P35 FINISHED
Object Irgun E74254 NE FINISHED

How this triple was built (2 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: Irgun | Statement: [Yishuv, hasPart, Irgun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irgun
Context triple: [Yishuv, hasPart, Irgun]
  • A. Irgun chosen
    Irgun was a Zionist paramilitary organization active in Mandatory Palestine from the 1930s to 1948, known for its militant tactics against British rule and its role in the struggle for the establishment of the State of Israel.
  • B. Haganah
    Haganah was the main Jewish paramilitary organization in Mandatory Palestine that later formed the core of the Israel Defense Forces.
  • C. Tamarod (Rebel)
    Tamarod (Rebel) is an Egyptian grassroots movement known for organizing mass petitions and protests that helped galvanize opposition to President Mohamed Morsi in 2013.
  • D. Jewish Military Union
    The Jewish Military Union was a right-wing Zionist underground resistance organization in the Warsaw Ghetto that played a key role in armed Jewish resistance against the Nazis during World War II.
  • E. Sayeret Matkal
    Sayeret Matkal is an elite Israeli special forces reconnaissance unit known for high-risk counterterrorism and intelligence-gathering operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d95ae3f88190b7f5d440f90ae9f9 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748dfd9608190891c8df48b771e20 completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:24 p.m.