Triple

T10165731
Position Surface form Disambiguated ID Type / Status
Subject World AIDS Day E235199 entity
Predicate hashtag P9354 FINISHED
Object #WAD
#WAD is a commonly used social media hashtag for discussions, awareness campaigns, and events related to World AIDS Day and the global response to HIV/AIDS.
 E845795 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: #WAD | Statement: [World AIDS Day, hashtag, #WAD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: #WAD
Context triple: [World AIDS Day, hashtag, #WAD]
  • A. WADW
    WADW is the ICAO airport code for Umbu Mehang Kunda Airport in Indonesia.
  • B. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • C. WADT
    WADT is the ICAO airport code for Tambolaka Airport, a regional airport serving the island of Sumba in Indonesia.
  • D. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • E. WAS
    WAS is a Windows server component that manages the activation and lifetime of web and related application processes, particularly for Internet Information Services (IIS).
  • 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: #WAD
Triple: [World AIDS Day, hashtag, #WAD]
Generated description
#WAD is a commonly used social media hashtag for discussions, awareness campaigns, and events related to World AIDS Day and the global response to HIV/AIDS.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: #WAD
Target entity description: #WAD is a commonly used social media hashtag for discussions, awareness campaigns, and events related to World AIDS Day and the global response to HIV/AIDS.
  • A. WADW
    WADW is the ICAO airport code for Umbu Mehang Kunda Airport in Indonesia.
  • B. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • C. WADT
    WADT is the ICAO airport code for Tambolaka Airport, a regional airport serving the island of Sumba in Indonesia.
  • D. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • E. WAS
    WAS is a Windows server component that manages the activation and lifetime of web and related application processes, particularly for Internet Information Services (IIS).
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec6cf27481909f38839452ac0e37 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300e06bbc8190a51f872eccac8f40 completed April 6, 2026, 12:40 a.m.
NEDg Description generation batch_69d30255c7408190a56764f3d3f36ee2 completed April 6, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d30343f4b081909eb80c772f6847bd completed April 6, 2026, 12:50 a.m.
Created at: March 30, 2026, 9:10 p.m.