Triple

T10742602
Position Surface form Disambiguated ID Type / Status
Subject Collblanc E253364 entity
Predicate metroLine P848 FINISHED
Object L9 Sud E599000 NE FINISHED

How this triple was built (2 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: [Collblanc, metroLine, L9 Sud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: L9 Sud
Context triple: [Collblanc, metroLine, L9 Sud]
  • A. L9 Sud chosen
    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.
  • B. 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.
  • C. 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.
  • D. L83
    L83 is a 5.3-liter GM EcoTec3 V8 truck engine used in late-model Chevrolet and GMC pickups and SUVs.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: April 8, 2026, 9:15 p.m.