Triple

T12683957
Position Surface form Disambiguated ID Type / Status
Subject Heinrich Heine University Düsseldorf E303017 entity
Predicate hasAbbreviation P43 FINISHED
Object HHU E674039 NE FINISHED

How this triple was built (2 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: [Heinrich Heine University Düsseldorf, hasAbbreviation, HHU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HHU
Context triple: [Heinrich Heine University Düsseldorf, hasAbbreviation, HHU]
  • A. HHU chosen
    HHU is the abbreviation for Hohai University, a prominent Chinese institution known for its specialization in water resources and hydropower engineering.
  • B. HUU
    HUU is the students' union representing and supporting students at the University of Hull through services, activities, and advocacy.
  • C. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • D. 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.
  • E. UHK
    UHK is a public university in Hradec Králové, Czech Republic, offering a range of academic programs and research activities across multiple faculties.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d68358819095bdaab8adf1dcf0 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a733a48190b55d296573c86eaf completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:21 p.m.