Triple

T1492055
Position Surface form Disambiguated ID Type / Status
Subject Semantic Web E29601 entity
Predicate basedOnStandard P1587 FINISHED
Object 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.
 E171294 NE FINISHED

How this triple was built (4 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: [Semantic Web, basedOnStandard, RIF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RIF
Context triple: [Semantic Web, basedOnStandard, RIF]
  • A. 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.
  • B. RWF
    RWF is the currency code for the Rwandan franc, the official monetary unit of Rwanda.
  • C. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • D. RRF
    RRF is the acronym for the United States Ready Reserve Force, a fleet of government-owned cargo ships maintained for rapid activation in military and humanitarian sealift operations.
  • E. .rf
    .rf is the Cyrillic country-code top-level domain representing the Russian Federation on the internet.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RIF
Triple: [Semantic Web, basedOnStandard, RIF]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RIF
Target entity description: 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.
  • A. 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.
  • B. RWF
    RWF is the currency code for the Rwandan franc, the official monetary unit of Rwanda.
  • C. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • D. RRF
    RRF is the acronym for the United States Ready Reserve Force, a fleet of government-owned cargo ships maintained for rapid activation in military and humanitarian sealift operations.
  • E. .rf
    .rf is the Cyrillic country-code top-level domain representing the Russian Federation on the internet.
  • F. None of above. chosen

Provenance (5 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6c4f0c88190a97ba4910c1a5d85 completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1ca98e64819097916eb7717e6364 completed March 8, 2026, 6:52 a.m.
NEDg Description generation batch_69ad1d34656481909949b4bfd83c6142 completed March 8, 2026, 6:54 a.m.
NED2 Entity disambiguation (via description) batch_69ad1dd7b34c8190b6957be2112506dd completed March 8, 2026, 6:57 a.m.
Created at: March 1, 2026, 8:12 p.m.