Triple

T1387258
Position Surface form Disambiguated ID Type / Status
Subject Jørn Utzon E29873 entity
Predicate notableWork P4 FINISHED
Object Can Lis
Can Lis is a celebrated cliffside house on the island of Mallorca, designed by Danish architect Jørn Utzon as his own Mediterranean residence and admired for its sculptural integration with the coastal landscape.
 E160709 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: Can Lis | Statement: [Jørn Utzon, notableWork, Can Lis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Can Lis
Context triple: [Jørn Utzon, notableWork, Can Lis]
  • A. 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.
  • B. LIS
    LIS is the three-letter IATA airport code for Humberto Delgado Airport, the main international airport serving Lisbon, Portugal.
  • C. litas
    The litas was the national currency of Lithuania before the adoption of the euro.
  • D. LUSU
    LUSU is the students' union representing and supporting students at Lancaster University in the United Kingdom.
  • E. Lisse
    Lisse is a town in the western Netherlands renowned for its flower bulb fields and the famous Keukenhof gardens.
  • 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: Can Lis
Triple: [Jørn Utzon, notableWork, Can Lis]
Generated description
Can Lis is a celebrated cliffside house on the island of Mallorca, designed by Danish architect Jørn Utzon as his own Mediterranean residence and admired for its sculptural integration with the coastal landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Can Lis
Target entity description: Can Lis is a celebrated cliffside house on the island of Mallorca, designed by Danish architect Jørn Utzon as his own Mediterranean residence and admired for its sculptural integration with the coastal landscape.
  • A. 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.
  • B. LIS
    LIS is the three-letter IATA airport code for Humberto Delgado Airport, the main international airport serving Lisbon, Portugal.
  • C. litas
    The litas was the national currency of Lithuania before the adoption of the euro.
  • D. LUSU
    LUSU is the students' union representing and supporting students at Lancaster University in the United Kingdom.
  • E. Lisse
    Lisse is a town in the western Netherlands renowned for its flower bulb fields and the famous Keukenhof gardens.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c33b6e108190b6b2bca4ddd97b6c completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde1f08e08190871fd9d539e902c8 completed March 8, 2026, 2:25 a.m.
NEDg Description generation batch_69acdf4e74b08190a18df73cca054b28 completed March 8, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69ace03eabf48190a79b5112fb2a917d completed March 8, 2026, 2:34 a.m.
Created at: March 1, 2026, 7:59 p.m.