Triple

T2427705
Position Surface form Disambiguated ID Type / Status
Subject Tohoku University Network of Asian Universities E53569 entity
Predicate shortName P43 FINISHED
Object TUNAN
TUNAN is an academic consortium led by Tohoku University that connects universities across Asia to promote collaborative education and research.
 E266197 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: TUNAN | Statement: [Tohoku University Network of Asian Universities, shortName, TUNAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TUNAN
Context triple: [Tohoku University Network of Asian Universities, shortName, TUNAN]
  • A. TUNAIR
    TUNAIR is the radio callsign used by Tunisair, the national flag carrier airline of Tunisia.
  • B. Tikun
    Tikun is a central Kabbalistic concept referring to the spiritual rectification and restoration of cosmic and personal harmony.
  • C. Tamuning
    Tamuning is a coastal village and major commercial center on the western shore of Guam in the Western Pacific.
  • D. Tamalu
    Tamalu is a village located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • E. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • 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: TUNAN
Triple: [Tohoku University Network of Asian Universities, shortName, TUNAN]
Generated description
TUNAN is an academic consortium led by Tohoku University that connects universities across Asia to promote collaborative education and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TUNAN
Target entity description: TUNAN is an academic consortium led by Tohoku University that connects universities across Asia to promote collaborative education and research.
  • A. TUNAIR
    TUNAIR is the radio callsign used by Tunisair, the national flag carrier airline of Tunisia.
  • B. Tikun
    Tikun is a central Kabbalistic concept referring to the spiritual rectification and restoration of cosmic and personal harmony.
  • C. Tamuning
    Tamuning is a coastal village and major commercial center on the western shore of Guam in the Western Pacific.
  • D. Tamalu
    Tamalu is a village located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • E. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99d0b1c8190bf0a94fa07919d21 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf637be4819096874a24e87f84ab completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec7698e9881909c75137cb5cf2a0c completed March 9, 2026, 1:13 p.m.
NED2 Entity disambiguation (via description) batch_69aec87df0648190b8099b4eaa3d9b22 completed March 9, 2026, 1:17 p.m.
Created at: March 6, 2026, 9:42 p.m.