Triple

T14347397
Position Surface form Disambiguated ID Type / Status
Subject Rabbi Meir E355761 entity
Predicate associatedWith P37 FINISHED
Object city of Tiberias E2296 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: city of Tiberias | Statement: [Rabbi Meir, associatedWith, city of Tiberias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Tiberias
Context triple: [Rabbi Meir, associatedWith, city of Tiberias]
  • A. Tiberias chosen
    Tiberias is an ancient city in northern Israel on the western shore of the Sea of Galilee, historically significant as a major center of Jewish learning and pilgrimage.
  • B. Sepphoris
    Sepphoris was an important ancient Galilean city in Roman-era Palestine, known as a political and cultural center with a significant Jewish population and notable rabbinic activity.
  • C. الناصرة
    الناصرة مدينة تاريخية في الجليل شمال فلسطين/إسرائيل تُعد من أهم المدن المسيحية لارتباطها بسيرة السيد المسيح.
  • D. Caesarea Maritima
    Caesarea Maritima was a major Roman port city and administrative center on the Mediterranean coast of Judea, notable as the provincial capital where Roman governors such as Pontius Pilate resided.
  • E. Banias
    Banias is a coastal city on the Mediterranean Sea in western Syria, known for its oil refinery and port facilities.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8b81bc8190ace2a575faf55cc0 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46a12ad08190a2f0dc5890ed5ce9 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:14 a.m.