Triple

T10142392
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Institute of Technology E231616 entity
Predicate abbreviation P43 FINISHED
Object TIT
TIT is a leading Japanese national research university in Tokyo renowned for its strong programs in science, engineering, and technology.
E844573 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: TIT | Statement: [Tokyo Institute of Technology, abbreviation, TIT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TIT
Context triple: [Tokyo Institute of Technology, abbreviation, TIT]
  • A. Tittling
    Tittling is a small municipality in the Bavarian region of southeastern Germany, known for its rural setting and proximity to the city of Passau.
  • B. Ti
    Ti was an ancient Egyptian official of the Fifth Dynasty, known from his elaborately decorated mastaba tomb at Saqqara that provides important insights into Old Kingdom life and art.
  • C. Titti
    Titti were one of the principal Celtiberian tribes inhabiting the central Iberian Peninsula in pre-Roman times.
  • D. Ty
    Ty is the first name of American musician and songwriter Ty Segall, known for his prolific work in garage and psychedelic rock.
  • E. Tiltil
    Tiltil is a small town and commune in central Chile known for its rural character and historical significance within the Santiago Metropolitan Region.
  • 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: TIT
Triple: [Tokyo Institute of Technology, abbreviation, TIT]
Generated description
TIT is a leading Japanese national research university in Tokyo renowned for its strong programs in science, engineering, and technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TIT
Target entity description: TIT is a leading Japanese national research university in Tokyo renowned for its strong programs in science, engineering, and technology.
  • A. Tittling
    Tittling is a small municipality in the Bavarian region of southeastern Germany, known for its rural setting and proximity to the city of Passau.
  • B. Ti
    Ti was an ancient Egyptian official of the Fifth Dynasty, known from his elaborately decorated mastaba tomb at Saqqara that provides important insights into Old Kingdom life and art.
  • C. Titti
    Titti were one of the principal Celtiberian tribes inhabiting the central Iberian Peninsula in pre-Roman times.
  • D. Ty
    Ty is the first name of American musician and songwriter Ty Segall, known for his prolific work in garage and psychedelic rock.
  • E. Tiltil
    Tiltil is a small town and commune in central Chile known for its rural character and historical significance within the Santiago Metropolitan Region.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb273fec8190818707167e031d58 completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e60e51488190a6097837eb3ce18a completed April 5, 2026, 10:45 p.m.
NEDg Description generation batch_69d2ea2b0c2c8190ad96980673f182c1 completed April 5, 2026, 11:03 p.m.
NED2 Entity disambiguation (via description) batch_69d2ea7fe7948190baa7ffcfe5c399dd completed April 5, 2026, 11:04 p.m.
Created at: March 30, 2026, 9:07 p.m.