Triple

T2295766
Position Surface form Disambiguated ID Type / Status
Subject Wallis and Futuna E51608 entity
Predicate internetTLD P248 FINISHED
Object .wf
.wf is the country code top-level domain (ccTLD) assigned to the French overseas collectivity of Wallis and Futuna in the South Pacific.
 E253672 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: .wf | Statement: [Wallis and Futuna, internetTLD, .wf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: .wf
Context triple: [Wallis and Futuna, internetTLD, .wf]
  • A. WF
    WF is the common abbreviation for Wikifunctions, a Wikimedia project aimed at creating a collaborative catalog of reusable functions.
  • B. WCP
    WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
  • C. WSF
    WSF is the vehicle registration code used on license plates for the Burgenlandkreis district in the German state of Saxony-Anhalt.
  • D. 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.
  • E. RWF
    RWF is the currency code for the Rwandan franc, the official monetary unit of Rwanda.
  • 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: .wf
Triple: [Wallis and Futuna, internetTLD, .wf]
Generated description
.wf is the country code top-level domain (ccTLD) assigned to the French overseas collectivity of Wallis and Futuna in the South Pacific.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: .wf
Target entity description: .wf is the country code top-level domain (ccTLD) assigned to the French overseas collectivity of Wallis and Futuna in the South Pacific.
  • A. WF
    WF is the common abbreviation for Wikifunctions, a Wikimedia project aimed at creating a collaborative catalog of reusable functions.
  • B. WCP
    WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
  • C. WSF
    WSF is the vehicle registration code used on license plates for the Burgenlandkreis district in the German state of Saxony-Anhalt.
  • D. 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.
  • E. RWF
    RWF is the currency code for the Rwandan franc, the official monetary unit of Rwanda.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5dc40f881908a3dcc518bbead55 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f28db6c81909dbe55c704307da6 completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae7fd6e8608190b48f3a50ee62d664 completed March 9, 2026, 8:07 a.m.
NED2 Entity disambiguation (via description) batch_69ae804b402c81909a5fc68c6ee3decb completed March 9, 2026, 8:09 a.m.
Created at: March 4, 2026, 7:49 p.m.