Triple

T1338427
Position Surface form Disambiguated ID Type / Status
Subject OV-chipkaart E28408 entity
Predicate usedByOperator P22525 FINISHED
Object HTM
HTM is the public transport company that operates trams and buses in and around The Hague in the Netherlands.
E153684 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: HTM | Statement: [OV-chipkaart, usedByOperator, HTM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HTM
Context triple: [OV-chipkaart, usedByOperator, HTM]
  • A. HTML
    HTML (HyperText Markup Language) is the standard markup language used to structure and present content on the World Wide Web.
  • B. XHTML
    XHTML is a reformulation of HTML as an XML-based markup language designed to create structured, standards-compliant web pages.
  • C. HTML5
    HTML5 is the fifth major version of the HyperText Markup Language standard, introducing modern web features such as semantic elements, native audio and video, and enhanced APIs for building rich, interactive web applications.
  • D. EdgeHTML
    EdgeHTML is a proprietary web browser engine developed by Microsoft for earlier versions of the Microsoft Edge browser before it transitioned to Chromium.
  • E. HT
    HT is the ISO 3166-1 alpha-2 country code for Haiti.
  • 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: HTM
Triple: [OV-chipkaart, usedByOperator, HTM]
Generated description
HTM is the public transport company that operates trams and buses in and around The Hague in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HTM
Target entity description: HTM is the public transport company that operates trams and buses in and around The Hague in the Netherlands.
  • A. HTML
    HTML (HyperText Markup Language) is the standard markup language used to structure and present content on the World Wide Web.
  • B. XHTML
    XHTML is a reformulation of HTML as an XML-based markup language designed to create structured, standards-compliant web pages.
  • C. HTML5
    HTML5 is the fifth major version of the HyperText Markup Language standard, introducing modern web features such as semantic elements, native audio and video, and enhanced APIs for building rich, interactive web applications.
  • D. EdgeHTML
    EdgeHTML is a proprietary web browser engine developed by Microsoft for earlier versions of the Microsoft Edge browser before it transitioned to Chromium.
  • E. HT
    HT is the ISO 3166-1 alpha-2 country code for Haiti.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c2115d388190b031ae2de1296f8a completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc62e4c788190824df2a9b81692d7 completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc6ae66408190bf48fe3150a08116 completed March 8, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69acc73b92248190b723cb64046799e3 completed March 8, 2026, 12:47 a.m.
Created at: March 1, 2026, 7:56 p.m.