Triple

T18100689
Position Surface form Disambiguated ID Type / Status
Subject MFA (Israel) E433205 entity
Predicate shortName P43 FINISHED
Object Israel MFA NE NERFINISHED

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: Israel MFA | Statement: [MFA (Israel), shortName, Israel MFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Israel MFA
Context triple: [MFA (Israel), shortName, Israel MFA]
  • A. Israeli Ministry of Foreign Affairs chosen
    The Israeli Ministry of Foreign Affairs is the government body responsible for managing Israel’s diplomatic relations, foreign policy, and international representation.
  • B. Embassy of Israel in New Delhi
    The Embassy of Israel in New Delhi is Israel’s primary diplomatic mission in India, handling political, economic, cultural, and consular relations between the two countries.
  • C. MASHAV
    MASHAV is Israel’s Agency for International Development Cooperation, responsible for managing and implementing the country’s foreign aid and development assistance programs worldwide.
  • D. Israel
    Israel is a key patriarchal figure in the Hebrew Bible, regarded as the ancestor of the Israelites and the twelve tribes that bear his sons’ names.
  • E. Israel
    Israel is a Middle Eastern country known for its significant historical and religious sites, advanced technology sector, and developed, high-income economy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb5e6208190b3c3cce3b95d66ad completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:27 a.m.