Triple

T11350347
Position Surface form Disambiguated ID Type / Status
Subject Posek E268823 entity
Predicate mayServeAs P98 FINISHED
Object Dayan E331070 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: Dayan | Statement: [Posek, mayServeAs, Dayan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dayan
Context triple: [Posek, mayServeAs, Dayan]
  • A. Dayan chosen
    Dayan is a Hebrew surname most famously associated with Israeli military leader and politician Moshe Dayan.
  • B. Dayan Ta
    Dayan Ta, or the Giant Wild Goose Pagoda, is a historic Buddhist pagoda in Xi’an, China, renowned as a key site on the ancient Silk Road and for housing important Buddhist scriptures.
  • C. Tzippori
    Tzippori is an archaeological site and modern village in Israel known for its rich remains from the Roman and Byzantine periods, including impressive mosaics and ancient Jewish and early Christian heritage.
  • D. Eyal
    Eyal is a masculine given name of Hebrew origin, commonly used in Israel.
  • E. Dagan
    Dagan is an ancient Northwest Semitic god, particularly revered by the Amorites and later in Mesopotamia, commonly associated with grain, fertility, and sometimes the underworld.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea23391c819089e8f9725cb3a0ff completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5439a7ee481908d244f79041b3af6 completed April 19, 2026, 9:05 p.m.
Created at: April 8, 2026, 9:33 p.m.