Triple

T5074224
Position Surface form Disambiguated ID Type / Status
Subject Ze'ev E114352 entity
Predicate isUsedIn P98 FINISHED
Object Israel E80119 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: Israel | Statement: [Ze'ev, isUsedIn, Israel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Israel
Context triple: [Ze'ev, isUsedIn, Israel]
  • A. Israel
    Israel is a Middle Eastern country known for its significant historical and religious sites, advanced technology sector, and developed, high-income economy.
  • B. Israel chosen
    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.
  • C. Palestina
    Palestina is a small municipality located in the Caldas Department of Colombia, known for its coffee production and proximity to the city of Manizales.
  • D. Palestine
    Palestine is a historic region in Western Asia at the eastern end of the Mediterranean Sea, significant as a crossroads of civilizations and a central homeland in Jewish, Christian, and Islamic traditions.
  • E. Lebanon and Israel
    Lebanon and Israel are neighboring Middle Eastern countries with a long history of political conflict, military clashes, and unresolved territorial disputes.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74d0be1c819081b26235fe602a30 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb11b3f3c819089f09178f17940c5 completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:39 p.m.