Triple

T6483737
Position Surface form Disambiguated ID Type / Status
Subject Tuamotu Archipelago E146457 entity
Predicate notableAtoll P71185 FINISHED
Object Makemo
Makemo is a large, sparsely populated coral atoll in French Polynesia’s Tuamotu Archipelago, known for its long lagoon and traditional Polynesian culture.
 E597091 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: Makemo | Statement: [Tuamotu Archipelago, notableAtoll, Makemo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Makemo
Context triple: [Tuamotu Archipelago, notableAtoll, Makemo]
  • A. Makilala
    Makilala is a municipality in the province of North Cotabato in the Philippines, known for its agricultural economy and proximity to Mount Apo.
  • B. Makin
    Makin is a small atoll in the northern Gilbert Islands of Kiribati, known for its traditional Micronesian culture and World War II history.
  • C. Nambui
    Nambui was a Mongol empress consort of the Yuan dynasty and a prominent wife of Kublai Khan, influential in the imperial court after the death of his first empress.
  • D. Mokena
    Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
  • E. Hamaki
    Hamaki was the Japanese nickname, meaning "cigar," for the Mitsubishi G4M, a long-range World War II bomber known for its distinctive cylindrical fuselage and lack of armor.
  • 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: Makemo
Triple: [Tuamotu Archipelago, notableAtoll, Makemo]
Generated description
Makemo is a large, sparsely populated coral atoll in French Polynesia’s Tuamotu Archipelago, known for its long lagoon and traditional Polynesian culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Makemo
Target entity description: Makemo is a large, sparsely populated coral atoll in French Polynesia’s Tuamotu Archipelago, known for its long lagoon and traditional Polynesian culture.
  • A. Makilala
    Makilala is a municipality in the province of North Cotabato in the Philippines, known for its agricultural economy and proximity to Mount Apo.
  • B. Makin
    Makin is a small atoll in the northern Gilbert Islands of Kiribati, known for its traditional Micronesian culture and World War II history.
  • C. Nambui
    Nambui was a Mongol empress consort of the Yuan dynasty and a prominent wife of Kublai Khan, influential in the imperial court after the death of his first empress.
  • D. Mokena
    Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
  • E. Hamaki
    Hamaki was the Japanese nickname, meaning "cigar," for the Mitsubishi G4M, a long-range World War II bomber known for its distinctive cylindrical fuselage and lack of armor.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a6de31c81909dd99d105f5bb4c2 completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653b24670819088fa8e0d7eb6f73b completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c655c84a7c81909bb59f9db52f5d3a completed March 27, 2026, 10:02 a.m.
NED2 Entity disambiguation (via description) batch_69c656c84ecc8190b5d0c947c27a3bb0 completed March 27, 2026, 10:07 a.m.
Created at: March 22, 2026, 4:52 p.m.