Triple

T1487750
Position Surface form Disambiguated ID Type / Status
Subject Yosef Caro Synagogue E29505 entity
Predicate city P40 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: [Yosef Caro Synagogue, city, Safed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Safed
Context triple: [Yosef Caro Synagogue, city, 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 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. Bat Yam
    Bat Yam is a coastal city in central Israel, located just south of Tel Aviv along the Mediterranean Sea.
  • D. Sakhnin
    Sakhnin is an Arab city in northern Israel known for its predominantly Muslim population and its football club Bnei Sakhnin, which has played in the Israeli Premier League.
  • E. Karmiel
    Karmiel is a modern planned city in northern Israel, located in the Galilee and known for its residential neighborhoods, industrial zones, and cultural festivals.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6a44efc819084254614d8ea4669 completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69adbf3d408881909688667be4a32931 completed March 8, 2026, 6:26 p.m.
Created at: March 1, 2026, 8:12 p.m.