Triple

T7563738
Position Surface form Disambiguated ID Type / Status
Subject Hohai University E178856 entity
Predicate abbreviation P43 FINISHED
Object HHU
HHU is the abbreviation for Hohai University, a prominent Chinese institution known for its specialization in water resources and hydropower engineering.
 E674039 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: HHU | Statement: [Hohai University, abbreviation, HHU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HHU
Context triple: [Hohai University, abbreviation, HHU]
  • A. FHU
    FHU is the IATA airport code for Libby Army Airfield, a joint-use military and civilian airport serving the Fort Huachuca area in Arizona, United States.
  • B. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • C. UHK
    UHK is a public university in Hradec Králové, Czech Republic, offering a range of academic programs and research activities across multiple faculties.
  • D. HCU
    HCU is a leading Indian public research university located in Hyderabad, known for its strong postgraduate programs and emphasis on interdisciplinary studies.
  • E. UHHH
    UHHH is the ICAO airport code for Khabarovsk Novy Airport in Khabarovsk, Russia.
  • 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: HHU
Triple: [Hohai University, abbreviation, HHU]
Generated description
HHU is the abbreviation for Hohai University, a prominent Chinese institution known for its specialization in water resources and hydropower engineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HHU
Target entity description: HHU is the abbreviation for Hohai University, a prominent Chinese institution known for its specialization in water resources and hydropower engineering.
  • A. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • B. FHU
    FHU is the IATA airport code for Libby Army Airfield, a joint-use military and civilian airport serving the Fort Huachuca area in Arizona, United States.
  • C. UHK
    UHK is a public university in Hradec Králové, Czech Republic, offering a range of academic programs and research activities across multiple faculties.
  • D. HCU
    HCU is a leading Indian public research university located in Hyderabad, known for its strong postgraduate programs and emphasis on interdisciplinary studies.
  • E. UHHH
    UHHH is the ICAO airport code for Khabarovsk Novy Airport in Khabarovsk, Russia.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fb1c00819096bdb73334d8d72e completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856d8206081909987556fb6ab7084 completed March 28, 2026, 10:31 p.m.
NEDg Description generation batch_69c85918e70481908502cb86a31edc14 completed March 28, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69c85982256081908263d5f25c6e99b5 completed March 28, 2026, 10:43 p.m.
Created at: March 27, 2026, 3:50 p.m.