Triple

T11585504
Position Surface form Disambiguated ID Type / Status
Subject Hull University Union E274742 entity
Predicate abbreviation P43 FINISHED
Object HUU
HUU is the students' union representing and supporting students at the University of Hull through services, activities, and advocacy.
 E934908 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: HUU | Statement: [Hull University Union, abbreviation, HUU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HUU
Context triple: [Hull University Union, abbreviation, HUU]
  • A. HOO
    HOO is the Croatian Olympic Committee, the national body responsible for organizing Croatia’s participation in the Olympic Games and promoting Olympic sports in the country.
  • B. UHHH
    UHHH is the ICAO airport code for Khabarovsk Novy Airport in Khabarovsk, Russia.
  • C. Hu
    Hu is a common Chinese surname borne by many notable figures, including former Chinese president Hu Jintao.
  • D. HHU
    HHU is the abbreviation for Hohai University, a prominent Chinese institution known for its specialization in water resources and hydropower engineering.
  • E. HU
    HU is the IATA airline designator assigned to Hainan Airlines, a major Chinese carrier.
  • 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: HUU
Triple: [Hull University Union, abbreviation, HUU]
Generated description
HUU is the students' union representing and supporting students at the University of Hull through services, activities, and advocacy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HUU
Target entity description: HUU is the students' union representing and supporting students at the University of Hull through services, activities, and advocacy.
  • A. HOO
    HOO is the Croatian Olympic Committee, the national body responsible for organizing Croatia’s participation in the Olympic Games and promoting Olympic sports in the country.
  • B. UHHH
    UHHH is the ICAO airport code for Khabarovsk Novy Airport in Khabarovsk, Russia.
  • C. Hu
    Hu is a common Chinese surname borne by many notable figures, including former Chinese president Hu Jintao.
  • D. HHU
    HHU is the abbreviation for Hohai University, a prominent Chinese institution known for its specialization in water resources and hydropower engineering.
  • E. HU
    HU is the IATA airline designator assigned to Hainan Airlines, a major Chinese carrier.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89462203881908870e991a5b21770 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7143ee0548190b71ddae0ab7c68cb completed April 21, 2026, 6:07 a.m.
NEDg Description generation batch_69e720fb192881909c129f93c8b88f42 completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e7233efb6c81909dbf1aef080f5598 completed April 21, 2026, 7:11 a.m.
Created at: April 8, 2026, 9:38 p.m.