Triple

T2851364
Position Surface form Disambiguated ID Type / Status
Subject Maloelap Atoll E63097 entity
Predicate hasFormerName P65 FINISHED
Object Maroelap
Maroelap is the former name of Maloelap Atoll, a coral atoll in the Ratak Chain of the Marshall Islands in the central Pacific Ocean.
E303140 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: Maroelap | Statement: [Maloelap Atoll, hasFormerName, Maroelap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maroelap
Context triple: [Maloelap Atoll, hasFormerName, Maroelap]
  • A. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • B. Marapu
    Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
  • C. Drimolen
    Drimolen is an important South African paleoanthropological cave site known for yielding significant early hominin fossils within the Cradle of Humankind World Heritage area.
  • D. Lanseria
    Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
  • E. Mafadi
    Mafadi is a prominent mountain peak on the border of South Africa and Lesotho, renowned as the highest point in South Africa and a popular destination for serious hikers and mountaineers.
  • 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: Maroelap
Triple: [Maloelap Atoll, hasFormerName, Maroelap]
Generated description
Maroelap is the former name of Maloelap Atoll, a coral atoll in the Ratak Chain of the Marshall Islands in the central Pacific Ocean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maroelap
Target entity description: Maroelap is the former name of Maloelap Atoll, a coral atoll in the Ratak Chain of the Marshall Islands in the central Pacific Ocean.
  • A. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • B. Marapu
    Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
  • C. Drimolen
    Drimolen is an important South African paleoanthropological cave site known for yielding significant early hominin fossils within the Cradle of Humankind World Heritage area.
  • D. Lanseria
    Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
  • E. Mafadi
    Mafadi is a prominent mountain peak on the border of South Africa and Lesotho, renowned as the highest point in South Africa and a popular destination for serious hikers and mountaineers.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf5ca2648190bd32c6ec4b0dd3b6 completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8e23694819089b38a10e1bc2f03 completed March 10, 2026, 9:48 a.m.
NEDg Description generation batch_69afea2358b88190a91ef389f5a98cea completed March 10, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69b0035854e88190a8750b3291aa41c4 completed March 10, 2026, 11:41 a.m.
Created at: March 6, 2026, 10:02 p.m.