Triple

T7856941
Position Surface form Disambiguated ID Type / Status
Subject Wah Campus E182400 entity
Predicate city P40 FINISHED
Object Wah
Wah is a city in Pakistan’s Punjab province, known for its industrial significance and proximity to major military and educational institutions.
 E700846 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: Wah | Statement: [Wah Campus, city, Wah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wah
Context triple: [Wah Campus, city, Wah]
  • A. WOAH
    WOAH is the acronym for the World Organisation for Animal Health, an intergovernmental body that sets international standards for animal health and welfare.
  • B. Woah
    "Woah" is a popular hip-hop single by American rapper Lil Baby known for its catchy hook and viral dance.
  • C. Waah!
    "Waah!" is a popular hit song by Tanzanian artist Diamond Platnumz, known for its catchy Afro-pop sound and widespread success across East Africa and beyond.
  • D. Wa
    Wa is a town in northwestern Ghana that serves as an administrative, commercial, and cultural hub for the surrounding region.
  • E. Wa
    Wa is an ancient Chinese exonym historically used to refer to the people and early polities of the Japanese archipelago.
  • 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: Wah
Triple: [Wah Campus, city, Wah]
Generated description
Wah is a city in Pakistan’s Punjab province, known for its industrial significance and proximity to major military and educational institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wah
Target entity description: Wah is a city in Pakistan’s Punjab province, known for its industrial significance and proximity to major military and educational institutions.
  • A. WOAH
    WOAH is the acronym for the World Organisation for Animal Health, an intergovernmental body that sets international standards for animal health and welfare.
  • B. Woah
    "Woah" is a popular hip-hop single by American rapper Lil Baby known for its catchy hook and viral dance.
  • C. Waah!
    "Waah!" is a popular hit song by Tanzanian artist Diamond Platnumz, known for its catchy Afro-pop sound and widespread success across East Africa and beyond.
  • D. Wa
    Wa is a town in northwestern Ghana that serves as an administrative, commercial, and cultural hub for the surrounding region.
  • E. Wa
    Wa is an ancient Chinese exonym historically used to refer to the people and early polities of the Japanese archipelago.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a75de548190af5653409a3b3881 completed March 31, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b2e2980819083369668938bae9c completed March 31, 2026, 5:27 a.m.
NEDg Description generation batch_69cb762fda2c81908ed508e12cabb938 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbbf706e888190bfd08d9d78945c49 completed March 31, 2026, 12:34 p.m.
Created at: March 30, 2026, 4:52 p.m.