Triple

T6012994
Position Surface form Disambiguated ID Type / Status
Subject Malapascua Island E133878 entity
Predicate hasDiveSite P41537 FINISHED
Object Lapus Lapus
Lapus Lapus is a popular scuba diving site off Malapascua Island in the Philippines, known for its vibrant coral reefs and diverse marine life.
E562612 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: Lapus Lapus | Statement: [Malapascua Island, hasDiveSite, Lapus Lapus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lapus Lapus
Context triple: [Malapascua Island, hasDiveSite, Lapus Lapus]
  • A. Arumpone
    Arumpone is the monarch who presides over the fictional realm known as the Kingdom of Bone.
  • B. Pallini
    Pallini is a suburban town in the Athens metropolitan area of Greece that serves as an administrative and residential hub in East Attica.
  • C. Papingo
    Papingo is a picturesque traditional village in the Zagori region of Epirus, northwestern Greece, known for its stone architecture and dramatic mountain scenery.
  • D. Melipal
    Melipal is one of the Unit Telescopes of the Very Large Telescope array at ESO’s Paranal Observatory in Chile, used for advanced optical and infrared astronomical observations.
  • E. Taroa
    Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
  • 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: Lapus Lapus
Triple: [Malapascua Island, hasDiveSite, Lapus Lapus]
Generated description
Lapus Lapus is a popular scuba diving site off Malapascua Island in the Philippines, known for its vibrant coral reefs and diverse marine life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lapus Lapus
Target entity description: Lapus Lapus is a popular scuba diving site off Malapascua Island in the Philippines, known for its vibrant coral reefs and diverse marine life.
  • A. Arumpone
    Arumpone is the monarch who presides over the fictional realm known as the Kingdom of Bone.
  • B. Pallini
    Pallini is a suburban town in the Athens metropolitan area of Greece that serves as an administrative and residential hub in East Attica.
  • C. Papingo
    Papingo is a picturesque traditional village in the Zagori region of Epirus, northwestern Greece, known for its stone architecture and dramatic mountain scenery.
  • D. Melipal
    Melipal is one of the Unit Telescopes of the Very Large Telescope array at ESO’s Paranal Observatory in Chile, used for advanced optical and infrared astronomical observations.
  • E. Taroa
    Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f528acc8190bc6943d812460b57 completed March 22, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108a7afe88190adeb690f40b2e1e9 completed March 23, 2026, 9:32 a.m.
NEDg Description generation batch_69c10b5816548190b73f19e12cdf8e03 completed March 23, 2026, 9:43 a.m.
NED2 Entity disambiguation (via description) batch_69c10c39fb848190a557278d3cd23560 completed March 23, 2026, 9:47 a.m.
Created at: March 22, 2026, 4:06 p.m.