Triple

T17139895
Position Surface form Disambiguated ID Type / Status
Subject Ted Arison E415934 entity
Predicate businessRegion P285 FINISHED
Object Israel E6036 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: [Ted Arison, businessRegion, Israel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Israel
Context triple: [Ted Arison, businessRegion, Israel]
  • A. 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.
  • B. Israel chosen
    Israel is a Middle Eastern country known for its significant historical and religious sites, advanced technology sector, and developed, high-income economy.
  • 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. Palestina
    Palestina is a small town and rural parish located in the Guayas Province of coastal Ecuador.
  • E. 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.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d318a88190aae8d776376c8053 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fc263508190aeeb0ea9553cebdb completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:36 a.m.