Triple

T12971539
Position Surface form Disambiguated ID Type / Status
Subject Tanimbar Islands E321408 entity
Predicate hasIsland P970 FINISHED
Object Molu
Molu is one of the islands that make up Indonesia’s Tanimbar Islands archipelago in the Maluku province.
 E1012949 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: Molu | Statement: [Tanimbar Islands, hasIsland, Molu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Molu
Context triple: [Tanimbar Islands, hasIsland, Molu]
  • A. 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.
  • B. Mola
    Mola is a genus of large ocean sunfishes known for their distinctive flattened bodies and immense size, including the common ocean sunfish Mola mola.
  • C. Mola
    Mola is a Spanish surname most notably associated with Emilio Mola, a key Nationalist general during the Spanish Civil War.
  • D. Malimono
    Malimono is a coastal municipality in the province of Surigao del Norte in the Philippines, known for its rugged shoreline, waterfalls, and fishing communities.
  • E. Pilia
    Pilia was a Roman woman of the late Republic, known primarily as the wife of Marcus Atius Balbus and mother-in-law of Julius Caesar’s sister Julia.
  • 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: Molu
Triple: [Tanimbar Islands, hasIsland, Molu]
Generated description
Molu is one of the islands that make up Indonesia’s Tanimbar Islands archipelago in the Maluku province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Molu
Target entity description: Molu is one of the islands that make up Indonesia’s Tanimbar Islands archipelago in the Maluku province.
  • A. 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.
  • B. Mola
    Mola is a genus of large ocean sunfishes known for their distinctive flattened bodies and immense size, including the common ocean sunfish Mola mola.
  • C. Mola
    Mola is a Spanish surname most notably associated with Emilio Mola, a key Nationalist general during the Spanish Civil War.
  • D. Malimono
    Malimono is a coastal municipality in the province of Surigao del Norte in the Philippines, known for its rugged shoreline, waterfalls, and fishing communities.
  • E. Pilia
    Pilia was a Roman woman of the late Republic, known primarily as the wife of Marcus Atius Balbus and mother-in-law of Julius Caesar’s sister Julia.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e418d548190be1c73db76cb3aa8 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8ea91f08190b1daf6d05621acf9 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9a1ca54819085da2ca592bf5219 completed May 3, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb2602848190b9588134c71d0ef4 completed May 3, 2026, 3:04 a.m.
Created at: April 9, 2026, 8:36 p.m.