Triple

T6637170
Position Surface form Disambiguated ID Type / Status
Subject Metro line L9 Sud E150486 entity
Predicate lineNumber P1864 FINISHED
Object L9 Sud
L9 Sud is a section of Barcelona's Metro Line 9 that serves the southern metropolitan area, including key connections to the airport and suburban zones.
 E599000 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: L9 Sud | Statement: [Metro line L9 Sud, lineNumber, L9 Sud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: L9 Sud
Context triple: [Metro line L9 Sud, lineNumber, L9 Sud]
  • A. L86
    L86 is a 6.2-liter GM EcoTec3 V8 gasoline engine used in modern Chevrolet and GMC trucks and SUVs, known for its direct injection, variable valve timing, and cylinder deactivation technologies.
  • B. SR-91
    SR-91 is a state highway designation commonly used in the United States for a numbered route within a state's road network.
  • C. L83
    L83 is a 5.3-liter GM EcoTec3 V8 truck engine used in late-model Chevrolet and GMC pickups and SUVs.
  • D. A 32A Lansen
    The A 32A Lansen was the ground-attack version of Sweden’s Saab 32 Lansen jet aircraft, optimized for strike missions with enhanced weapons and attack systems.
  • E. L110
    L110 is the liquid-fueled second stage used on ISRO’s GSLV Mk III heavy-lift launch vehicle.
  • 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: L9 Sud
Triple: [Metro line L9 Sud, lineNumber, L9 Sud]
Generated description
L9 Sud is a section of Barcelona's Metro Line 9 that serves the southern metropolitan area, including key connections to the airport and suburban zones.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: L9 Sud
Target entity description: L9 Sud is a section of Barcelona's Metro Line 9 that serves the southern metropolitan area, including key connections to the airport and suburban zones.
  • A. L86
    L86 is a 6.2-liter GM EcoTec3 V8 gasoline engine used in modern Chevrolet and GMC trucks and SUVs, known for its direct injection, variable valve timing, and cylinder deactivation technologies.
  • B. SR-91
    SR-91 is a state highway designation commonly used in the United States for a numbered route within a state's road network.
  • C. L83
    L83 is a 5.3-liter GM EcoTec3 V8 truck engine used in late-model Chevrolet and GMC pickups and SUVs.
  • D. A 32A Lansen
    The A 32A Lansen was the ground-attack version of Sweden’s Saab 32 Lansen jet aircraft, optimized for strike missions with enhanced weapons and attack systems.
  • E. L110
    L110 is the liquid-fueled second stage used on ISRO’s GSLV Mk III heavy-lift launch vehicle.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afcf439c8190b9334b34774da821 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbf71874819080cc89b6740b1567 completed March 27, 2026, 6:27 p.m.
NEDg Description generation batch_69c6cd0bb0e48190ae51fde4b4631f65 completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cd90b9208190b4c5bf44db073314 completed March 27, 2026, 6:33 p.m.
Created at: March 27, 2026, 1:59 p.m.