Triple

T7423000
Position Surface form Disambiguated ID Type / Status
Subject RIF E171294 entity
Predicate hasComponent P35 FINISHED
Object RIF-Core E171294 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-Core | Statement: [RIF, hasComponent, RIF-Core]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RIF-Core
Context triple: [RIF, hasComponent, RIF-Core]
  • A. RIF chosen
    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.
  • 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, 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.
  • D. RCF
    RCF is a historic French multi-sport club based in Paris, best known for its football and rugby sections.
  • E. rcf
    rcf is the ISO 639-3 language code for Réunion Creole, a French-based creole language spoken primarily on Réunion Island in the Indian Ocean.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2eece588190905774e7151edcb8 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81effc488819086336eea92604fa8 completed March 28, 2026, 6:33 p.m.
Created at: March 27, 2026, 3:12 p.m.