Triple

T3190327
Position Surface form Disambiguated ID Type / Status
Subject Namu Atoll E66805 entity
Predicate hasCapital P204 FINISHED
Object Namu
Namu is the main settlement and administrative center of Namu Atoll in the Marshall Islands.
 E336603 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: Namu | Statement: [Namu Atoll, hasCapital, Namu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Namu
Context triple: [Namu Atoll, hasCapital, Namu]
  • A. 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.
  • B. Namaka
    Namaka is the smaller and inner of the two known moons orbiting the dwarf planet Haumea in the Kuiper Belt.
  • C. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • D. Sonamura
    Sonamura is a town in the Indian state of Tripura, known as an administrative and commercial center near the India–Bangladesh border.
  • E. Tanno
    Tanno is a district or locality within the city of Kitami in Hokkaido, Japan.
  • 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: Namu
Triple: [Namu Atoll, hasCapital, Namu]
Generated description
Namu is the main settlement and administrative center of Namu Atoll in the Marshall Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Namu
Target entity description: Namu is the main settlement and administrative center of Namu Atoll in the Marshall Islands.
  • A. 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.
  • B. Namaka
    Namaka is the smaller and inner of the two known moons orbiting the dwarf planet Haumea in the Kuiper Belt.
  • C. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • D. Sonamura
    Sonamura is a town in the Indian state of Tripura, known as an administrative and commercial center near the India–Bangladesh border.
  • E. Tanno
    Tanno is a district or locality within the city of Kitami in Hokkaido, Japan.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e67e948190afbd9cc6a3ade415 completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b9a9bc88190b7090bda8fe6260c completed March 12, 2026, 5:14 a.m.
NEDg Description generation batch_69b24d677ca8819094cb03360ac885da completed March 12, 2026, 5:21 a.m.
NED2 Entity disambiguation (via description) batch_69b25178f3c08190be78bdbd0cdfc5f3 completed March 12, 2026, 5:39 a.m.
Created at: March 8, 2026, 3:07 p.m.