Triple

T17707516
Position Surface form Disambiguated ID Type / Status
Subject Human Sciences, Osaka University E441469 entity
Predicate abbreviation P43 FINISHED
Object HUS
HUS is the commonly used abbreviation for the Human Sciences program or faculty at Osaka University in Japan.
 E1283867 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: HUS | Statement: [Human Sciences, Osaka University, abbreviation, HUS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HUS
Context triple: [Human Sciences, Osaka University, abbreviation, HUS]
  • A. HIB
    HIB is the FAA airport code for Range Regional Airport, a public airport serving the Hibbing, Minnesota area.
  • B. HIB
    HIB is the National Rail station code for High Brooms railway station in Kent, England.
  • C. HSP
    HSP (Headset Profile) is a Bluetooth standard that defines how wireless headsets communicate with devices like phones and computers for basic audio and control functions.
  • D. Hipple
    Hipple is the birth surname of American film and television actor Hugh Marlowe.
  • E. Hurler
    Hurler is a wooden roller coaster at the Carowinds amusement park known for its high-speed, rough-and-tumble ride experience.
  • 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: HUS
Triple: [Human Sciences, Osaka University, abbreviation, HUS]
Generated description
HUS is the commonly used abbreviation for the Human Sciences program or faculty at Osaka University in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HUS
Target entity description: HUS is the commonly used abbreviation for the Human Sciences program or faculty at Osaka University in Japan.
  • A. HIB
    HIB is the FAA airport code for Range Regional Airport, a public airport serving the Hibbing, Minnesota area.
  • B. HIB
    HIB is the National Rail station code for High Brooms railway station in Kent, England.
  • C. HSP
    HSP (Headset Profile) is a Bluetooth standard that defines how wireless headsets communicate with devices like phones and computers for basic audio and control functions.
  • D. Hipple
    Hipple is the birth surname of American film and television actor Hugh Marlowe.
  • E. Hurler
    Hurler is a wooden roller coaster at the Carowinds amusement park known for its high-speed, rough-and-tumble ride experience.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e472990b5c81908e0414d3230f283e completed April 19, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a023022e50881908a617d2f80e00956 completed May 11, 2026, 7:38 p.m.
NEDg Description generation batch_6a0231b6005c8190a1d7aa10a61fa7b9 completed May 11, 2026, 7:44 p.m.
NED2 Entity disambiguation (via description) batch_6a023228e064819095b1d73d0fd2c3c2 completed May 11, 2026, 7:46 p.m.
Created at: April 10, 2026, 10:05 a.m.