Triple

T10741656
Position Surface form Disambiguated ID Type / Status
Subject DART E253339 entity
Predicate usesRollingStockClass P5426 FINISHED
Object IE 8510 Class
The IE 8510 Class is a series of electric multiple unit trains operated by Iarnród Éireann for Dublin's DART suburban rail services.
E883842 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: IE 8510 Class | Statement: [DART, usesRollingStockClass, IE 8510 Class]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IE 8510 Class
Context triple: [DART, usesRollingStockClass, IE 8510 Class]
  • A. IEN 41
    IEN 41 is an early Internet Experiment Note documenting research and design considerations in the formative stages of the ARPANET/Internet protocols.
  • B. Class 158
    Class 158 is a British diesel multiple unit train widely used on regional and intercity services, known for its higher comfort and speed compared to older provincial stock.
  • C. IE-L
    IE-L is the ISO 3166-2 subdivision code assigned to the Irish province of Leinster.
  • D. ME 115
    ME 115 is a state highway in Maine that serves as a regional connector route between several communities in the southern part of the state.
  • E. ME 100
    ME 100 is a state highway in Maine that serves as a major north–south route connecting several communities and providing an alternative to Interstate 95.
  • 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: IE 8510 Class
Triple: [DART, usesRollingStockClass, IE 8510 Class]
Generated description
The IE 8510 Class is a series of electric multiple unit trains operated by Iarnród Éireann for Dublin's DART suburban rail services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: IE 8510 Class
Target entity description: The IE 8510 Class is a series of electric multiple unit trains operated by Iarnród Éireann for Dublin's DART suburban rail services.
  • A. IEN 41
    IEN 41 is an early Internet Experiment Note documenting research and design considerations in the formative stages of the ARPANET/Internet protocols.
  • B. Class 158
    Class 158 is a British diesel multiple unit train widely used on regional and intercity services, known for its higher comfort and speed compared to older provincial stock.
  • C. IE-L
    IE-L is the ISO 3166-2 subdivision code assigned to the Irish province of Leinster.
  • D. ME 115
    ME 115 is a state highway in Maine that serves as a regional connector route between several communities in the southern part of the state.
  • E. ME 100
    ME 100 is a state highway in Maine that serves as a major north–south route connecting several communities and providing an alternative to Interstate 95.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710456ec88190ad8aff8804d13aa9 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22fc13b0819098caf88328397053 completed April 14, 2026, 11:20 a.m.
NEDg Description generation batch_69de271e2698819093bba748a0a0db5d completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cdd79608190bad8045939556bc7 completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:15 p.m.