Triple

T20616398
Position Surface form Disambiguated ID Type / Status
Subject Agence wallonne du Patrimoine E506578 entity
Predicate shortName P43 FINISHED
Object AWaP
AWaP is the Walloon Heritage Agency responsible for protecting, managing, and promoting cultural and architectural heritage in Belgium’s Walloon Region.
E1441744 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: AWaP | Statement: [Agence wallonne du Patrimoine, shortName, AWaP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AWaP
Context triple: [Agence wallonne du Patrimoine, shortName, AWaP]
  • A. WAWA
    WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
  • B. AWRP
    AWRP is a collaborative initiative focused on restoring and protecting the environmental health and water quality of the Anacostia River watershed.
  • C. WAA
    WAA is the acronym for the Winnipeg Airports Authority, the organization responsible for operating and managing Winnipeg’s airport facilities.
  • D. WAAPA
    WAAPA is a renowned Australian performing arts academy based in Perth, known for training actors, dancers, musicians, and other stage professionals.
  • E. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • 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: AWaP
Triple: [Agence wallonne du Patrimoine, shortName, AWaP]
Generated description
AWaP is the Walloon Heritage Agency responsible for protecting, managing, and promoting cultural and architectural heritage in Belgium’s Walloon Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AWaP
Target entity description: AWaP is the Walloon Heritage Agency responsible for protecting, managing, and promoting cultural and architectural heritage in Belgium’s Walloon Region.
  • A. WAWA
    WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
  • B. AWRP
    AWRP is a collaborative initiative focused on restoring and protecting the environmental health and water quality of the Anacostia River watershed.
  • C. WAA
    WAA is the acronym for the Winnipeg Airports Authority, the organization responsible for operating and managing Winnipeg’s airport facilities.
  • D. WAAPA
    WAAPA is a renowned Australian performing arts academy based in Perth, known for training actors, dancers, musicians, and other stage professionals.
  • E. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aadbb3ac81908145f57fd6a94256 completed April 20, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bb13545c8190afcd6b35e2aa56ef completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bbb570f4819093e23b20fd83d101 completed May 16, 2026, 6:47 p.m.
NED2 Entity disambiguation (via description) batch_6a08bf7d661c8190af9e9b7b4121f951 completed May 16, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:41 a.m.