Triple

T13439384
Position Surface form Disambiguated ID Type / Status
Subject Papa ben Neser E320316 entity
Predicate sameAs P6530 FINISHED
Object Papa bar Neser E320316 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: Papa bar Neser | Statement: [Papa ben Neser, sameAs, Papa bar Neser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Papa bar Neser
Context triple: [Papa ben Neser, sameAs, Papa bar Neser]
  • A. Papa ben Neser (Papa bar Neser) chosen
    Papa ben Neser (Papa bar Neser) was a historical figure known in Jewish tradition as the leader responsible for the destruction of the Babylonian city of Nehardea.
  • B. Shfar'am
    Shfar'am is an ancient, predominantly Arab city in northern Israel known for its historically mixed Muslim, Christian, and Druze population.
  • C. Piye
    Piye was an ancient Kushite king who conquered and unified Egypt in the 8th century BCE, founding the Twenty-fifth Dynasty.
  • D. Misir Ali
    Misir Ali is a popular fictional Bangladeshi psychologist and amateur detective created by writer Humayun Ahmed, known for his rational mind and involvement in mysterious cases.
  • E. Sawiris
    Sawiris is a prominent Egyptian business family best known for its influential role in construction, telecommunications, and investment through the Orascom group of companies.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee5ec488190bd0c1e990dbd2bc2 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7399215bc8190b846906b0f081e7f completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.