Triple

T14131091
Position Surface form Disambiguated ID Type / Status
Subject Lihir Islands E350166 entity
Predicate hasSettlement P1068 FINISHED
Object Masahet
Masahet is a small inhabited island and settlement within Papua New Guinea’s Lihir Islands group in the New Ireland Province.
E1082011 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: Masahet | Statement: [Lihir Islands, hasSettlement, Masahet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masahet
Context triple: [Lihir Islands, hasSettlement, Masahet]
  • A. Masarra
    Masarra is a passenger station on Cairo Metro’s Line 2 serving commuters in the Cairo metropolitan area.
  • B. Serua
    Serua is a small volcanic island in Indonesia’s Banda Sea, known for its steep terrain, active geology, and remote location within the Banda Arc.
  • C. Musasir
    Musasir was an ancient Urartian city and religious center in the Armenian Highlands, renowned for its prominent temple dedicated to the god Haldi.
  • D. Masar
    Masar is a British Thoroughbred racehorse best known for winning the 2018 Epsom Derby for Godolphin.
  • E. Shetebo
    Shetebo are an indigenous people of the Peruvian Amazon closely related culturally and linguistically to the Shipibo-Conibo.
  • 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: Masahet
Triple: [Lihir Islands, hasSettlement, Masahet]
Generated description
Masahet is a small inhabited island and settlement within Papua New Guinea’s Lihir Islands group in the New Ireland Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Masahet
Target entity description: Masahet is a small inhabited island and settlement within Papua New Guinea’s Lihir Islands group in the New Ireland Province.
  • A. Masarra
    Masarra is a passenger station on Cairo Metro’s Line 2 serving commuters in the Cairo metropolitan area.
  • B. Serua
    Serua is a small volcanic island in Indonesia’s Banda Sea, known for its steep terrain, active geology, and remote location within the Banda Arc.
  • C. Musasir
    Musasir was an ancient Urartian city and religious center in the Armenian Highlands, renowned for its prominent temple dedicated to the god Haldi.
  • D. Masar
    Masar is a British Thoroughbred racehorse best known for winning the 2018 Epsom Derby for Godolphin.
  • E. Shetebo
    Shetebo are an indigenous people of the Peruvian Amazon closely related culturally and linguistically to the Shipibo-Conibo.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610aa434819096671c5aabb9134a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf10e3948190b21968bc39094a8e completed May 7, 2026, 6:50 p.m.
NEDg Description generation batch_69fce1c29b988190957020f20e7c82e2 completed May 7, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_69fce23f04308190a369c86ad2335688 completed May 7, 2026, 7:04 p.m.
Created at: April 9, 2026, 11:03 p.m.