Triple

T9159493
Position Surface form Disambiguated ID Type / Status
Subject Kitáb-i-Aqdas E219784 entity
Predicate placeWritten P1144 FINISHED
Object Akká E285922 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: Akká | Statement: [Kitáb-i-Aqdas, placeWritten, Akká]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akká
Context triple: [Kitáb-i-Aqdas, placeWritten, Akká]
  • A. Achziv
    Achziv is a small coastal area in northern Israel known for its beaches, national park, and archaeological remains of ancient settlements.
  • B. Jabala
    Jabala is a historic coastal city in modern-day Syria that served as a significant urban center during the Crusader-era Principality of Antioch.
  • C. Hillah
    Hillah is a city in central Iraq on the Euphrates River, known as the modern settlement adjacent to the ruins of ancient Babylon.
  • D. Jaffa
    Jaffa is an ancient port city on the Mediterranean coast, now part of Tel Aviv-Yafo in Israel, known for its historic harbor, mixed Arab-Jewish population, and continuous habitation since antiquity.
  • E. عكّا chosen
    عكّا هي مدينة تاريخية ساحلية في شمال فلسطين/إسرائيل تشتهر بقلعتها وأسوارها العثمانية ومينائها القديم وتراثها المتعدد الثقافات.
  • 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.