Triple

T1781301
Position Surface form Disambiguated ID Type / Status
Subject Eurostar E39296 entity
Predicate operatesOnLine P15252 FINISHED
Object HSL 1
HSL 1 is a Belgian high-speed railway line that forms part of the international route used by Eurostar and other high-speed services between Brussels and neighboring countries.
 E199938 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: HSL 1 | Statement: [Eurostar, operatesOnLine, HSL 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HSL 1
Context triple: [Eurostar, operatesOnLine, HSL 1]
  • A. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • B. HLLS
    HLLS is the ICAO airport code for Sabha Airport, a public airport serving the city of Sabha in southwestern Libya.
  • C. HSB
    HSB is a specialty insurance and engineering services company best known for its expertise in equipment breakdown coverage and risk management solutions.
  • D. HLLB
    HLLB is the ICAO airport code for Benina International Airport, the main airport serving Benghazi in eastern Libya.
  • E. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • 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: HSL 1
Triple: [Eurostar, operatesOnLine, HSL 1]
Generated description
HSL 1 is a Belgian high-speed railway line that forms part of the international route used by Eurostar and other high-speed services between Brussels and neighboring countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HSL 1
Target entity description: HSL 1 is a Belgian high-speed railway line that forms part of the international route used by Eurostar and other high-speed services between Brussels and neighboring countries.
  • A. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • B. HLLS
    HLLS is the ICAO airport code for Sabha Airport, a public airport serving the city of Sabha in southwestern Libya.
  • C. HSB
    HSB is a specialty insurance and engineering services company best known for its expertise in equipment breakdown coverage and risk management solutions.
  • D. HLLB
    HLLB is the ICAO airport code for Benina International Airport, the main airport serving Benghazi in eastern Libya.
  • E. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e22d6881909ba6ec120b320918 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada99f52a08190854109d152c22be0 completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adab04b5688190afb3418e9b9da845 completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaeaf81e881908f99f5d948e3557b completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:31 p.m.