Triple

T3190331
Position Surface form Disambiguated ID Type / Status
Subject Namu Atoll E66805 entity
Predicate hasSettlement P1068 FINISHED
Object Mae
Mae is a small settlement located on Namu Atoll in the Marshall Islands, a remote Pacific island nation.
 E336606 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: Mae | Statement: [Namu Atoll, hasSettlement, Mae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mae
Context triple: [Namu Atoll, hasSettlement, Mae]
  • A. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • B. Maay
    Maay is a major dialect of the Somali language spoken primarily by the Rahanweyn (Digil-Mirifle) communities in southern Somalia.
  • C. Maahas
    Maahas is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • D. Mera
    Mera is a powerful Atlantean warrior and sorceress from DC Comics, best known as Aquaman’s ally and queen of Atlantis.
  • E. Mona
    Mona is a residential and academic community in the Parish of St. Andrew, Jamaica, best known as the main campus location of the University of the West Indies.
  • 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: Mae
Triple: [Namu Atoll, hasSettlement, Mae]
Generated description
Mae is a small settlement located on Namu Atoll in the Marshall Islands, a remote Pacific island nation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mae
Target entity description: Mae is a small settlement located on Namu Atoll in the Marshall Islands, a remote Pacific island nation.
  • A. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • B. Maay
    Maay is a major dialect of the Somali language spoken primarily by the Rahanweyn (Digil-Mirifle) communities in southern Somalia.
  • C. Maahas
    Maahas is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • D. Mera
    Mera is a powerful Atlantean warrior and sorceress from DC Comics, best known as Aquaman’s ally and queen of Atlantis.
  • E. Mona
    Mona is a residential and academic community in the Parish of St. Andrew, Jamaica, best known as the main campus location of the University of the West Indies.
  • 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.