Triple

T2748796
Position Surface form Disambiguated ID Type / Status
Subject Institut Teknologi Sepuluh Nopember E60933 entity
Predicate shortName P43 FINISHED
Object ITS
ITS is a leading Indonesian public technological university located in Surabaya, renowned for its engineering and science programs.
 E295065 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: ITS | Statement: [Institut Teknologi Sepuluh Nopember, shortName, ITS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ITS
Context triple: [Institut Teknologi Sepuluh Nopember, shortName, ITS]
  • A. ITS
    ITS is the research and engineering arm of the U.S. National Telecommunications and Information Administration, specializing in telecommunications and spectrum-related studies.
  • B. ICT
    ICT is the vehicle registration code used for motor vehicles registered in Islamabad, the capital city of Pakistan.
  • C. ICTS
    ICTS is a type of automated, medium-capacity urban transit technology used for rapid, driverless passenger transport in cities.
  • D. IT-TS
    IT-TS is the ISO 3166-2 code that uniquely identifies the Province of Trieste in Italy.
  • E. IS
    IS is the two-letter ISO 3166-1 alpha-2 country code representing Iceland in international standards and systems.
  • 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: ITS
Triple: [Institut Teknologi Sepuluh Nopember, shortName, ITS]
Generated description
ITS is a leading Indonesian public technological university located in Surabaya, renowned for its engineering and science programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ITS
Target entity description: ITS is a leading Indonesian public technological university located in Surabaya, renowned for its engineering and science programs.
  • A. ITS
    ITS is the research and engineering arm of the U.S. National Telecommunications and Information Administration, specializing in telecommunications and spectrum-related studies.
  • B. ICT
    ICT is the vehicle registration code used for motor vehicles registered in Islamabad, the capital city of Pakistan.
  • C. ICTS
    ICTS is a type of automated, medium-capacity urban transit technology used for rapid, driverless passenger transport in cities.
  • D. IT-TS
    IT-TS is the ISO 3166-2 code that uniquely identifies the Province of Trieste in Italy.
  • E. IS
    IS is the two-letter ISO 3166-1 alpha-2 country code representing Iceland in international standards and systems.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb517a00819084fd8f8933a25212 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbd573988190988d7af4997202fb completed March 10, 2026, 6:36 a.m.
NEDg Description generation batch_69afbc67c39c8190b5932c0e23595f64 completed March 10, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69afbd2d8a2c8190896a9154ebbd8bab completed March 10, 2026, 6:41 a.m.
Created at: March 6, 2026, 9:56 p.m.