Triple

T15777622
Position Surface form Disambiguated ID Type / Status
Subject Baku Metro E382528 entity
Predicate hasLine P35 FINISHED
Object Green Line
The Green Line is one of the main rapid transit lines in the Baku Metro system serving the city of Baku, Azerbaijan.
E1181265 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: [Baku Metro, hasLine, Green Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Line
Context triple: [Baku Metro, hasLine, Green Line]
  • A. 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.
  • B. 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.
  • C. Green Line
    The Green Line is one of the main rapid transit corridors of the Chennai Metro system in Chennai, India, connecting key areas of the city via elevated and underground stations.
  • D. Green Line
    The Green Line is one of the light rail routes in Houston’s METRORail system, serving the city’s East End and connecting it to downtown.
  • E. Green Line
    The Green Line is a rapid transit route within Miami-Dade County's Metrorail system, providing north-south rail service through key urban neighborhoods and connections.
  • 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: [Baku Metro, hasLine, Green Line]
Generated description
The Green Line is one of the main rapid transit lines in the Baku Metro system serving the city of Baku, Azerbaijan.
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 rapid transit lines in the Baku Metro system serving the city of Baku, Azerbaijan.
  • A. 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.
  • B. Green Line
    The Green Line is one of the main rapid transit corridors of Bengaluru’s Namma Metro system, running north–south across the city.
  • C. Green Line
    The Green Line is one of the color-coded rapid transit routes in Atlanta’s MARTA rail system, serving key stations on the city’s east–west corridor.
  • D. 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.
  • E. 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.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05199cd8881909462462cec34d35a completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9361f5c8190b68702154d05bbc2 completed May 9, 2026, 9:37 p.m.
NEDg Description generation batch_69ffaa3903408190b7beaa6b461bd2bd completed May 9, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_69ffab0c79d4819085f0ed6a4edcb7fb completed May 9, 2026, 9:45 p.m.
Created at: April 10, 2026, 4:47 a.m.