Triple

T1205565
Position Surface form Disambiguated ID Type / Status
Subject Yosef Karo E25879 entity
Predicate residence P75 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 Karo, residence, Safed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Safed
Context triple: [Yosef Karo, residence, 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdc0f8d08190b340012a9eb26275 completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad36f482808190b9a999ebbdbabc2e completed March 8, 2026, 8:44 a.m.
Created at: March 1, 2026, 7:46 p.m.