Triple

T11856033
Position Surface form Disambiguated ID Type / Status
Subject Tel Aviv metropolitan area E282040 entity
Predicate borderedBy P224 FINISHED
Object Sharon plain E484960 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: Sharon plain | Statement: [Tel Aviv metropolitan area, borderedBy, Sharon plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharon plain
Context triple: [Tel Aviv metropolitan area, borderedBy, Sharon plain]
  • A. Sharon plain chosen
    Sharon plain is a fertile coastal region in central Israel known historically for its agriculture and ancient settlements.
  • B. New Sharon
    New Sharon is a small rural city located in central Iowa, United States.
  • C. Sharon Heights
    Sharon Heights is an affluent residential neighborhood in Menlo Park, California, known for its upscale homes, golf course, and proximity to Silicon Valley.
  • D. Sholden
    Sholden is a small village and civil parish in Kent, England, situated near the coastal town of Deal.
  • E. Jerrys Plains
    Jerrys Plains is a small rural village in New South Wales, Australia, known for its agricultural lands, horse studs, and proximity to the Hunter Valley wine region.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a697f4108190af984932d2118472 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167d9b9e8819093582637941fc5ca completed April 29, 2026, 2:07 a.m.
Created at: April 8, 2026, 9:43 p.m.