Triple

T3512380
Position Surface form Disambiguated ID Type / Status
Subject Torino Porta Susa E74224 entity
Predicate hasStationCode P1289 FINISHED
Object IT TOS
IT TOS is the railway station code used to identify Torino Porta Susa station in Italy’s rail network.
 E365468 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: IT TOS | Statement: [Torino Porta Susa, hasStationCode, IT TOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IT TOS
Context triple: [Torino Porta Susa, hasStationCode, IT TOS]
  • A. ITS
    ITS is a leading Indonesian public technological university located in Surabaya, renowned for its engineering and science programs.
  • B. ITS
    ITS is the research and engineering arm of the U.S. National Telecommunications and Information Administration, specializing in telecommunications and spectrum-related studies.
  • C. ITO
    ITO refers to the proposed International Trade Organization, a post–World War II plan for a global body to regulate international trade that was never fully realized.
  • D. TOS
    TOS is an abbreviation that most commonly refers to "Terms of Service," the rules and conditions governing the use of a service or platform.
  • E. IT-TS
    IT-TS is the ISO 3166-2 code that uniquely identifies the Province of Trieste in Italy.
  • 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: IT TOS
Triple: [Torino Porta Susa, hasStationCode, IT TOS]
Generated description
IT TOS is the railway station code used to identify Torino Porta Susa station in Italy’s rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IT TOS
Target entity description: IT TOS is the railway station code used to identify Torino Porta Susa station in Italy’s rail network.
  • A. ITS
    ITS is a leading Indonesian public technological university located in Surabaya, renowned for its engineering and science programs.
  • B. ITS
    ITS is the research and engineering arm of the U.S. National Telecommunications and Information Administration, specializing in telecommunications and spectrum-related studies.
  • C. ITO
    ITO refers to the proposed International Trade Organization, a post–World War II plan for a global body to regulate international trade that was never fully realized.
  • D. TOS
    TOS is an abbreviation that most commonly refers to "Terms of Service," the rules and conditions governing the use of a service or platform.
  • E. IT-TS
    IT-TS is the ISO 3166-2 code that uniquely identifies the Province of Trieste in Italy.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc10b6b48190bedfed6d34afc425 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e7366e4819099b4a411343bdd90 completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37fd93cac8190915d55b9c37abad5 completed March 13, 2026, 3:09 a.m.
NED2 Entity disambiguation (via description) batch_69b3802e69488190926b6aa6e9d1d693 completed March 13, 2026, 3:10 a.m.
Created at: March 8, 2026, 3:19 p.m.