Triple

T13928758
Position Surface form Disambiguated ID Type / Status
Subject Israel Railways coastal railway line E334929 entity
Predicate passesThrough P225 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: [Israel Railways coastal railway line, passesThrough, Sharon plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharon plain
Context triple: [Israel Railways coastal railway line, passesThrough, 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa900a0819095eeb1bc46b0336e completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce8262288190a7e6dd647b1917c1 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:16 p.m.