Triple

T9421467
Position Surface form Disambiguated ID Type / Status
Subject Lysaker Station E227160 entity
Predicate hasStationCode P1289 FINISHED
Object LYS
LYS is the station code for Lysaker Station, a key railway hub in the Oslo metropolitan area of Norway.
 E798435 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: LYS | Statement: [Lysaker Station, hasStationCode, LYS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LYS
Context triple: [Lysaker Station, hasStationCode, LYS]
  • A. LYS
    LYS is the IATA airport code for Lyon–Saint-Exupéry Airport, the main international airport serving the Lyon metropolitan area in France.
  • B. Lys
    Lys is a wealthy and decadent island city-state in the world of *A Song of Ice and Fire* known for its pleasure houses, skilled courtesans, and distinctive Valyrian-descended population.
  • C. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • D. Lys
    Lys is a utopian, technologically advanced city in Arthur C. Clarke’s early science fiction universe, known for its preserved vitality and contrast to Earth’s stagnation.
  • E. LY
    LY is the IATA airline designator for El Al, the flag carrier of Israel.
  • 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: LYS
Triple: [Lysaker Station, hasStationCode, LYS]
Generated description
LYS is the station code for Lysaker Station, a key railway hub in the Oslo metropolitan area of Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LYS
Target entity description: LYS is the station code for Lysaker Station, a key railway hub in the Oslo metropolitan area of Norway.
  • A. LYS
    LYS is the IATA airport code for Lyon–Saint-Exupéry Airport, the main international airport serving the Lyon metropolitan area in France.
  • B. Lys
    Lys is a wealthy and decadent island city-state in the world of *A Song of Ice and Fire* known for its pleasure houses, skilled courtesans, and distinctive Valyrian-descended population.
  • C. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • D. Lys
    Lys is a utopian, technologically advanced city in Arthur C. Clarke’s early science fiction universe, known for its preserved vitality and contrast to Earth’s stagnation.
  • E. LY
    LY is the IATA airline designator for El Al, the flag carrier of Israel.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd6c2651c48190808281779fab49df completed April 1, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107c95c9481909957b99cacf5e045 completed April 4, 2026, 12:44 p.m.
NEDg Description generation batch_69d1085a980c8190b4c6d811b07ab180 completed April 4, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_69d1093f440481909aa27287019191ac completed April 4, 2026, 12:51 p.m.
Created at: March 30, 2026, 7:48 p.m.