Triple

T19564321
Position Surface form Disambiguated ID Type / Status
Subject Al-Mudhaffar Mosque E489538 entity
Predicate partOf P40 FINISHED
Object Old city of Taiz 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: Old city of Taiz | Statement: [Al-Mudhaffar Mosque, partOf, Old city of Taiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old city of Taiz
Context triple: [Al-Mudhaffar Mosque, partOf, Old city of Taiz]
  • A. city of Taif
    The city of Taif is a Saudi Arabian highland city known for its cool climate, rose cultivation, and historical significance as a summer resort.
  • B. old city of Ibb
    The old city of Ibb is a historic Yemeni urban center renowned for its dense traditional architecture, stone tower houses, and rich cultural heritage.
  • C. Taiz chosen
    Taiz is one of Yemen’s largest and historically most important cities, known as a cultural and intellectual center in the country.
  • D. Ma'rib
    Ma'rib is an ancient city in present-day Yemen that served as the political and religious center of the Sabaean civilization, renowned for its monumental dam and role in South Arabian trade.
  • E. Sanaʽa
    Sanaʽa is the historic capital and one of the largest cities of Yemen, renowned for its ancient architecture and cultural significance in the Arabian Peninsula.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f76b220819096e668534c6bac67 completed April 20, 2026, 3 p.m.
Created at: April 10, 2026, 1:42 p.m.