Triple

T9159421
Position Surface form Disambiguated ID Type / Status
Subject Bahá'u'lláh E219782 entity
Predicate placeOfDeath P21 FINISHED
Object Bahjí E782806 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: Bahjí | Statement: [Bahá'u'lláh, placeOfDeath, Bahjí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bahjí
Context triple: [Bahá'u'lláh, placeOfDeath, Bahjí]
  • A. Bahjí chosen
    Bahjí is a historic estate near Acre in present-day Israel that serves as the most sacred site in the Baháʼí Faith, housing the Shrine of Baháʼu'lláh.
  • B. Degahabur
    Degahabur is a town in eastern Ethiopia that serves as an administrative and commercial center within the Somali Region.
  • C. Tajrish
    Tajrish is a historic and bustling neighborhood in northern Tehran known for its traditional bazaar, central square, and proximity to the Alborz Mountains.
  • D. Darakeh
    Darakeh is a popular village and recreational area in northern Tehran, Iran, known for its hiking trails, riverside cafés, and scenic mountain views.
  • E. Shuafat
    Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca9d953c081908d21f363801aaae4 completed April 1, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c00daa48190ad68c88479478129 completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:21 p.m.