Triple

T7026312
Position Surface form Disambiguated ID Type / Status
Subject Mohamed E162955 entity
Predicate isDerivedFrom P909 FINISHED
Object Muhammad E4752 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: Muhammad | Statement: [Mohamed, isDerivedFrom, Muhammad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muhammad
Context triple: [Mohamed, isDerivedFrom, Muhammad]
  • A. Muhammad chosen
    Muhammad is the 7th-century Arab religious, political, and social leader regarded by Muslims as the final prophet and messenger of God in Islam.
  • B. Muhammad ibn al-Hanafiyyah
    Muhammad ibn al-Hanafiyyah was a prominent early Islamic figure and son of Ali ibn Abi Talib, known for his piety, scholarship, and role in the political and theological developments following the early caliphates.
  • C. Mohammad
    Mohammad is the given first name of Indonesian independence leader and former vice president Bung Hatta.
  • D. Yusuf as-Siddiq
    Yusuf as-Siddiq is a city in Egypt’s Faiyum Governorate, known for its agricultural surroundings and location within the fertile Faiyum Oasis region.
  • E. Sayyid Muhammad
    Sayyid Muhammad was a 16th-century architect best known for designing Humayun’s Tomb in Delhi, a landmark of early Mughal architecture and a precursor to the Taj Mahal.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1fd6ab48190865271e16e8ff669 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a311a7bc8190ba2c6f58f202365b completed March 28, 2026, 9:44 a.m.
Created at: March 27, 2026, 2:35 p.m.