Triple

T844455
Position Surface form Disambiguated ID Type / Status
Subject Kingston upon Hull E18246 entity
Predicate hasLandmark P105 FINISHED
Object The Deep
The Deep is a striking futuristic aquarium and marine research center in Kingston upon Hull, England, known for its dramatic architecture and extensive collection of marine life.
 E101644 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: The Deep | Statement: [Kingston upon Hull, hasLandmark, The Deep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Deep
Context triple: [Kingston upon Hull, hasLandmark, The Deep]
  • A. Sirena Deep
    Sirena Deep is one of the deepest known points in the world's oceans, located within the Mariana Trench in the western Pacific Ocean.
  • B. Calypso Deep
    Calypso Deep is the deepest known point in the Mediterranean Sea, located in the Hellenic Trench near Greece.
  • C. The Sea
    The Sea is a painting by British artist L. S. Lowry, known for its minimalist seascape composition and characteristic muted palette.
  • D. Outremer
    Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
  • E. Sea of Ice
    Sea of Ice is the English translation of "Mer de Glace," the largest and one of the most famous glaciers in the French Alps near Chamonix.
  • 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: The Deep
Triple: [Kingston upon Hull, hasLandmark, The Deep]
Generated description
The Deep is a striking futuristic aquarium and marine research center in Kingston upon Hull, England, known for its dramatic architecture and extensive collection of marine life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Deep
Target entity description: The Deep is a striking futuristic aquarium and marine research center in Kingston upon Hull, England, known for its dramatic architecture and extensive collection of marine life.
  • A. Sirena Deep
    Sirena Deep is one of the deepest known points in the world's oceans, located within the Mariana Trench in the western Pacific Ocean.
  • B. Calypso Deep
    Calypso Deep is the deepest known point in the Mediterranean Sea, located in the Hellenic Trench near Greece.
  • C. The Sea
    The Sea is a painting by British artist L. S. Lowry, known for its minimalist seascape composition and characteristic muted palette.
  • D. Outremer
    Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
  • E. Sea of Ice
    Sea of Ice is the English translation of "Mer de Glace," the largest and one of the most famous glaciers in the French Alps near Chamonix.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac09249c8190a8099b94a3c9e2cc completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3bb2fa08190b1e8f26ceb04b08c completed March 4, 2026, 3:15 a.m.
NEDg Description generation batch_69a7a5929de48190b01f45fbf19c72dc completed March 4, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69a7a63205308190b55b76116c0d5e7c completed March 4, 2026, 3:25 a.m.
Created at: March 1, 2026, 7:38 p.m.