Triple

T2288469
Position Surface form Disambiguated ID Type / Status
Subject Comino E51448 entity
Predicate knownFor P22 FINISHED
Object Blue Lagoon
Blue Lagoon is a famous crystal-clear turquoise bay on the Maltese island of Comino, popular for swimming, snorkeling, and boat excursions.
 E252619 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: Blue Lagoon | Statement: [Comino, knownFor, Blue Lagoon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blue Lagoon
Context triple: [Comino, knownFor, Blue Lagoon]
  • A. Ann's Court
    Ann's Court is a modern residential and teaching court within Selwyn College at the University of Cambridge.
  • B. Paradise Bay
    Paradise Bay is a scenic natural harbor on the Antarctic Peninsula known for its dramatic ice-clad mountains, glaciers, and use as a site for research stations and expedition cruises.
  • C. The Waterfall
    The Waterfall is a dramatic 17th-century landscape painting by Dutch Golden Age artist Jacob van Ruisdael, renowned for its powerful depiction of rushing water amid a rugged, romanticized natural setting.
  • D. Xanadu
    Xanadu is the opulent, mythical pleasure-dome city evoked in Samuel Taylor Coleridge’s poem "Kubla Khan."
  • E. Deep Blue Sea
    Deep Blue Sea is a 1999 science fiction horror film about genetically engineered sharks that terrorize researchers in an underwater facility.
  • 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: Blue Lagoon
Triple: [Comino, knownFor, Blue Lagoon]
Generated description
Blue Lagoon is a famous crystal-clear turquoise bay on the Maltese island of Comino, popular for swimming, snorkeling, and boat excursions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blue Lagoon
Target entity description: Blue Lagoon is a famous crystal-clear turquoise bay on the Maltese island of Comino, popular for swimming, snorkeling, and boat excursions.
  • A. Ann's Court
    Ann's Court is a modern residential and teaching court within Selwyn College at the University of Cambridge.
  • B. Paradise Bay
    Paradise Bay is a scenic natural harbor on the Antarctic Peninsula known for its dramatic ice-clad mountains, glaciers, and use as a site for research stations and expedition cruises.
  • C. The Waterfall
    The Waterfall is a dramatic 17th-century landscape painting by Dutch Golden Age artist Jacob van Ruisdael, renowned for its powerful depiction of rushing water amid a rugged, romanticized natural setting.
  • D. Xanadu
    Xanadu is the opulent, mythical pleasure-dome city evoked in Samuel Taylor Coleridge’s poem "Kubla Khan."
  • E. Deep Blue Sea
    Deep Blue Sea is a 1999 science fiction horror film about genetically engineered sharks that terrorize researchers in an underwater facility.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc2497ce881909b05eb9cec67d9e7 completed March 7, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f1e84ac819096cb62ce5e94d865 completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae7fee12ac8190bb9924f7467434a6 completed March 9, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69ae8061cd348190b0b0b65dcf730f99 completed March 9, 2026, 8:10 a.m.
Created at: March 4, 2026, 7:48 p.m.