Triple

T9363252
Position Surface form Disambiguated ID Type / Status
Subject Aleppo Codex fragments E225330 entity
Predicate placeOfOrigin P3743 FINISHED
Object 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: Tiberias | Statement: [Aleppo Codex fragments, placeOfOrigin, Tiberias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiberias
Context triple: [Aleppo Codex fragments, placeOfOrigin, 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. Banias
    Banias is a coastal city on the Mediterranean Sea in western Syria, known for its oil refinery and port facilities.
  • C. Banias
    Banias are a traditional Indian merchant and trading community historically associated with commerce, moneylending, and often with Vaishya caste status.
  • D. Beit She'an
    Beit She'an is an ancient city in northeastern Israel known for its extensive archaeological remains, including a well-preserved Roman-Byzantine ruins complex.
  • E. Nahariya
    Nahariya is a coastal city in northern Israel on the Mediterranean Sea, known as a resort town and gateway to nearby attractions such as Rosh HaNikra.
  • 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd503ddf8c81908b090afa54ec5e6d completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3eaf2208190967a3a8e82a4070b completed April 4, 2026, 11:20 a.m.
Created at: March 30, 2026, 7:42 p.m.