Triple

T18959488
Position Surface form Disambiguated ID Type / Status
Subject Afula railway station E463872 entity
Predicate connectsTo P845 FINISHED
Object Beit Shean 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: Beit Shean | Statement: [Afula railway station, connectsTo, Beit Shean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beit Shean
Context triple: [Afula railway station, connectsTo, Beit Shean]
  • A. Beit She'an chosen
    Beit She'an is an ancient city in northeastern Israel known for its extensive archaeological remains, including a well-preserved Roman-Byzantine ruins complex.
  • B. Beit Shemesh
    Beit Shemesh is a rapidly growing city in central Israel, located west of Jerusalem and known for its diverse population and mix of modern neighborhoods and ancient archaeological sites.
  • C. Kiryat Tiv'on
    Kiryat Tiv'on is a town in northern Israel, near Haifa, known for its residential character and proximity to archaeological and natural sites.
  • D. Kfar Saba
    Kfar Saba is a city in central Israel, known as a suburban and commercial hub in the Sharon plain near Tel Aviv.
  • E. Kiryat David
    Kiryat David is a residential neighborhood in the city of Rehovot, Israel.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d1d784819095f3f886d7c47175 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon