Triple

T17405680
Position Surface form Disambiguated ID Type / Status
Subject Caesarea Philippi E423208 entity
Predicate hasModernSiteName P20950 FINISHED
Object Banias NE NERFINISHED

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: Banias | Statement: [Caesarea Philippi, hasModernSiteName, Banias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banias
Context triple: [Caesarea Philippi, hasModernSiteName, Banias]
  • A. Banias
    Banias is a coastal city on the Mediterranean Sea in western Syria, known for its oil refinery and port facilities.
  • B. Banias
    Banias are a traditional Indian merchant and trading community historically associated with commerce, moneylending, and often with Vaishya caste status.
  • C. Banias chosen
    Banias is an ancient site in the Golan Heights known for its springs, archaeological ruins, and historical sanctuary dedicated to the Greek god Pan.
  • D. 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.
  • E. الناصرة
    الناصرة مدينة تاريخية في الجليل شمال فلسطين/إسرائيل تُعد من أهم المدن المسيحية لارتباطها بسيرة السيد المسيح.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b0750688190bb123634d7c7273e completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:45 a.m.