Triple

T653721
Position Surface form Disambiguated ID Type / Status
Subject Nagoya University E11599 entity
Predicate memberOf P10 FINISHED
Object TNUA
TNUA is an academic association or network that includes Nagoya University among its member institutions.
 E81412 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: TNUA | Statement: [Nagoya University, memberOf, TNUA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TNUA
Context triple: [Nagoya University, memberOf, TNUA]
  • A. TN
    TN is a UK postcode area covering Tunbridge Wells and surrounding parts of Kent and East Sussex.
  • B. SAU
    SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
  • C. NUC
    NUC is the standard abbreviation for the U.S. Navy Unit Commendation, a collective military award recognizing outstanding heroism or meritorious service by Navy units.
  • D. Teda
    Teda are a Saharan ethnic group, primarily inhabiting northern Chad and surrounding regions, known for their nomadic lifestyle and Tebu language.
  • E. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • 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: TNUA
Triple: [Nagoya University, memberOf, TNUA]
Generated description
TNUA is an academic association or network that includes Nagoya University among its member institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TNUA
Target entity description: TNUA is an academic association or network that includes Nagoya University among its member institutions.
  • A. TN
    TN is a UK postcode area covering Tunbridge Wells and surrounding parts of Kent and East Sussex.
  • B. SAU
    SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
  • C. NUC
    NUC is the standard abbreviation for the U.S. Navy Unit Commendation, a collective military award recognizing outstanding heroism or meritorious service by Navy units.
  • D. Teda
    Teda are a Saharan ethnic group, primarily inhabiting northern Chad and surrounding regions, known for their nomadic lifestyle and Tebu language.
  • E. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4a660c8190b887cb4da01ef7ae completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58a74b8a48190a7d74815c49a3d1e completed March 2, 2026, 1:02 p.m.
NEDg Description generation batch_69a58b7ee160819091aa9c559199932d completed March 2, 2026, 1:07 p.m.
NED2 Entity disambiguation (via description) batch_69a58bf7da1c8190ba231f7336694d7d completed March 2, 2026, 1:09 p.m.
Created at: March 1, 2026, 7:36 p.m.