Triple

T2613705
Position Surface form Disambiguated ID Type / Status
Subject Beit Yosef E58835 entity
Predicate placeOfComposition P7607 FINISHED
Object Safed E4532 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: Safed | Statement: [Beit Yosef, placeOfComposition, Safed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Safed
Context triple: [Beit Yosef, placeOfComposition, Safed]
  • A. Safed chosen
    Safed is a historic hilltop city in northern Israel renowned as one of Judaism’s four holy cities and a major center of Jewish mysticism (Kabbalah).
  • B. 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.
  • C. 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.
  • D. Bat Yam
    Bat Yam is a coastal city in central Israel, located just south of Tel Aviv along the Mediterranean Sea.
  • E. بئر السبع
    بئر السبع هي مدينة تقع في جنوب فلسطين التاريخية وتُعد مركزًا حضريًا رئيسيًا في منطقة النقب.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87dcfbc8190b264062002bfe4ba completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83e816808190aa2c91801fd3c6c7 completed March 10, 2026, 2:37 a.m.
Created at: March 6, 2026, 9:50 p.m.