Triple

T10741577
Position Surface form Disambiguated ID Type / Status
Subject Luas E253338 entity
Predicate hasLine P35 FINISHED
Object Green Line
The Green Line is one of the main light rail routes of Dublin’s Luas tram system, serving key suburbs and city areas along its corridor.
E886107 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: Green Line | Statement: [Luas, hasLine, Green Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Line
Context triple: [Luas, hasLine, Green Line]
  • A. Green Line
    The Green Line is one of the color-coded rapid transit routes in the Washington Metro system, serving key neighborhoods in Washington, D.C. and parts of Maryland.
  • B. Green Line
    The Green Line is one of the color-coded routes of the Tyne and Wear Metro rapid transit system serving the Newcastle upon Tyne area in northeast England.
  • C. Green Line
    The Green Line is one of the main rapid transit routes of the Dubai Metro, serving key districts along Dubai Creek and connecting important commercial and residential areas.
  • D. Green Line
    Green Line is a hybrid-oriented trim level of the Saturn Aura midsize sedan designed to offer improved fuel efficiency and lower emissions.
  • E. Green Line
    The Green Line is one of the main lines of the Lisbon Metro rapid transit system, serving several central and riverside neighborhoods of Portugal’s capital.
  • 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: Green Line
Triple: [Luas, hasLine, Green Line]
Generated description
The Green Line is one of the main light rail routes of Dublin’s Luas tram system, serving key suburbs and city areas along its corridor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Green Line
Target entity description: The Green Line is one of the main light rail routes of Dublin’s Luas tram system, serving key suburbs and city areas along its corridor.
  • A. Green Line
    The Green Line is a light rail service within Salt Lake City's TRAX system that connects key destinations across the metropolitan area.
  • B. Green Line
    The Green Line is one of the main rapid transit routes of the Dubai Metro, serving key districts along Dubai Creek and connecting important commercial and residential areas.
  • C. Green Line
    The Green Line is a light rail service in the Boston metropolitan area operated by the Massachusetts Bay Transportation Authority (MBTA), known for serving key downtown and surrounding neighborhoods.
  • D. Green Line
    The Green Line is a light rail service route within the San Diego Trolley system that connects key destinations across the San Diego metropolitan area.
  • E. Green Line
    The Green Line is a light rail service operated as part of Cleveland's RTA Rapid Transit system.
  • 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_69d7104446288190800253f8b652f710 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de558f26e88190a9cb8f4d0539e5a5 completed April 14, 2026, 2:56 p.m.
NEDg Description generation batch_69de5eacae148190b7ca2da87427572e completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de6397ff688190b6788489895a5360 completed April 14, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:15 p.m.