Triple

T14348617
Position Surface form Disambiguated ID Type / Status
Subject Madaba Governorate E355793 entity
Predicate hasMajorCity P316 FINISHED
Object Madaba E355792 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: Madaba | Statement: [Madaba Governorate, hasMajorCity, Madaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madaba
Context triple: [Madaba Governorate, hasMajorCity, Madaba]
  • A. Madaba chosen
    Madaba is a historic Jordanian city renowned for its Byzantine and Umayyad-era mosaics, especially the famous 6th-century mosaic map of the Holy Land.
  • B. Jerash
    Jerash is an ancient city in northern Jordan renowned for its exceptionally well-preserved Greco-Roman ruins and monumental colonnaded streets.
  • C. 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.
  • D. الناصرة
    الناصرة مدينة تاريخية في الجليل شمال فلسطين/إسرائيل تُعد من أهم المدن المسيحية لارتباطها بسيرة السيد المسيح.
  • 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_69de8e8d081c8190ac805726a3e98f4c completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd647f92348190ba4eb9a420e23ca1 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:14 a.m.