Triple

T4359995
Position Surface form Disambiguated ID Type / Status
Subject Shfela E98638 entity
Predicate majorCityNearby P1982 FINISHED
Object Beit Shemesh E248712 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: Beit Shemesh | Statement: [Shfela, majorCityNearby, Beit Shemesh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beit Shemesh
Context triple: [Shfela, majorCityNearby, Beit Shemesh]
  • A. Beit Shemesh chosen
    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.
  • B. Kiryat Shmona
    Kiryat Shmona is a northern Israeli city near the Lebanese border, known for its strategic location and frequent exposure to cross-border conflict.
  • C. Kfar Saba
    Kfar Saba is a city in central Israel, known as a suburban and commercial hub in the Sharon plain near Tel Aviv.
  • D. 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.
  • E. Kiryat Ono
    Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351e3220881909dc9d02ab024abf5 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d66d4948190a095a92d0e3778ca completed March 21, 2026, 7:48 a.m.
Created at: March 12, 2026, 11:16 p.m.