Triple

T2185763
Position Surface form Disambiguated ID Type / Status
Subject Userkaf E49148 entity
Predicate praenomenTransliteration P33650 FINISHED
Object Wsr-kꜢ.f
Wsr-kꜢ.f is the praenomen (throne name) of the ancient Egyptian pharaoh Userkaf, the first king of the Fifth Dynasty of the Old Kingdom.
 E243047 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: Wsr-kꜢ.f | Statement: [Userkaf, praenomenTransliteration, Wsr-kꜢ.f]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wsr-kꜢ.f
Context triple: [Userkaf, praenomenTransliteration, Wsr-kꜢ.f]
  • A. KWF
    KWF is the acronym for the Komisyon sa Wikang Filipino, the Philippine government agency responsible for developing, preserving, and promoting the Filipino language and other native languages of the Philippines.
  • B. WSF
    WSF is the commonly used abbreviation for Washington State Ferries, the largest ferry system in the United States serving routes across Puget Sound and nearby waterways.
  • C. WSF
    WSF is the vehicle registration code used on license plates for the Burgenlandkreis district in the German state of Saxony-Anhalt.
  • D. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • E. WU
    WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
  • 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: Wsr-kꜢ.f
Triple: [Userkaf, praenomenTransliteration, Wsr-kꜢ.f]
Generated description
Wsr-kꜢ.f is the praenomen (throne name) of the ancient Egyptian pharaoh Userkaf, the first king of the Fifth Dynasty of the Old Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wsr-kꜢ.f
Target entity description: Wsr-kꜢ.f is the praenomen (throne name) of the ancient Egyptian pharaoh Userkaf, the first king of the Fifth Dynasty of the Old Kingdom.
  • A. KWF
    KWF is the acronym for the Komisyon sa Wikang Filipino, the Philippine government agency responsible for developing, preserving, and promoting the Filipino language and other native languages of the Philippines.
  • B. WSF
    WSF is the commonly used abbreviation for Washington State Ferries, the largest ferry system in the United States serving routes across Puget Sound and nearby waterways.
  • C. WSF
    WSF is the vehicle registration code used on license plates for the Burgenlandkreis district in the German state of Saxony-Anhalt.
  • D. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • E. WU
    WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf1152688190955c14c0937deefd completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5dab44008190aeb4f77b73db2b36 completed March 9, 2026, 5:42 a.m.
NEDg Description generation batch_69ae5e5f023081909cd046b5850f8026 completed March 9, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ef99018819083a778378ea493e8 completed March 9, 2026, 5:47 a.m.
Created at: March 4, 2026, 7:45 p.m.