Triple

T7656901
Position Surface form Disambiguated ID Type / Status
Subject Isaac Alfasi E173406 entity
Predicate alsoKnownAs P39 FINISHED
Object Rif E54374 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: Rif | Statement: [Isaac Alfasi, alsoKnownAs, Rif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rif
Context triple: [Isaac Alfasi, alsoKnownAs, Rif]
  • A. Rif chosen
    Rif, also known as Rabbi Isaac Alfasi, was an 11th-century Talmudic scholar whose halachic digest of the Talmud became a foundational legal work that strongly shaped later Jewish law codes.
  • B. Rif
    Rif is a mountainous coastal region in northern Morocco known for its predominantly Amazigh (Berber) population and distinct cultural and historical identity.
  • C. RIF
    RIF (Rule Interchange Format) is a W3C standard designed to enable the exchange and interoperability of rules across different Semantic Web systems and rule engines.
  • D. Rifian
    Rifian is a Berber language spoken by the Rif people of northern Morocco.
  • E. Rist
    Rist is the surname of Swiss visual artist Pipilotti Rist, renowned for her innovative video art and immersive multimedia installations.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7018fcbb48190a479f2effd939a8e completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b05846c8190b49540aeae43dd9a completed March 29, 2026, 3:22 a.m.
Created at: March 27, 2026, 3:59 p.m.