Triple

T2851330
Position Surface form Disambiguated ID Type / Status
Subject Maloelap Atoll E63097 entity
Predicate hasCapital P204 FINISHED
Object 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.
 E303131 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: Taroa | Statement: [Maloelap Atoll, hasCapital, Taroa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taroa
Context triple: [Maloelap Atoll, hasCapital, Taroa]
  • A. Tayassu
    Tayassu is a genus of New World peccaries, medium-sized pig-like mammals native to Central and South American forests and scrublands.
  • B. Gressier
    Gressier is a coastal commune in western Haiti known for its proximity to Port-au-Prince and its vulnerability to earthquakes and hurricanes.
  • C. Galarina
    Galarina is a famous surrealist painting by Salvador Dalí depicting his muse and wife Gala in a classical, devotional style.
  • D. Pantar
    Pantar is an island in eastern Indonesia’s Alor archipelago, known for its linguistic diversity and use of several Central Malayo-Polynesian languages.
  • E. Melipilla
    Melipilla is a city and commune in central Chile known for its agricultural production and location southwest of Santiago.
  • 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: Taroa
Triple: [Maloelap Atoll, hasCapital, Taroa]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taroa
Target entity description: 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.
  • A. Tayassu
    Tayassu is a genus of New World peccaries, medium-sized pig-like mammals native to Central and South American forests and scrublands.
  • B. Gressier
    Gressier is a coastal commune in western Haiti known for its proximity to Port-au-Prince and its vulnerability to earthquakes and hurricanes.
  • C. Galarina
    Galarina is a famous surrealist painting by Salvador Dalí depicting his muse and wife Gala in a classical, devotional style.
  • D. Pantar
    Pantar is an island in eastern Indonesia’s Alor archipelago, known for its linguistic diversity and use of several Central Malayo-Polynesian languages.
  • E. Melipilla
    Melipilla is a city and commune in central Chile known for its agricultural production and location southwest of Santiago.
  • 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.