Triple

T616071
Position Surface form Disambiguated ID Type / Status
Subject Mayaimi people E14406 entity
Predicate neighboringGroup P5965 FINISHED
Object Ais
The Ais were a Native American people who inhabited the Atlantic coast of what is now central and southeastern Florida prior to European colonization.
 E77087 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: Ais | Statement: [Mayaimi people, neighboringGroup, Ais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ais
Context triple: [Mayaimi people, neighboringGroup, Ais]
  • A. Ain
    Ain is a department in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
  • B. Aua
    Aua is a coastal village on the island of Tutuila in American Samoa, known for its traditional Samoan community and proximity to Pago Pago Harbor.
  • C. Aimaqs
    The Aimaqs are a collection of semi-nomadic, Persian-speaking ethnic groups primarily inhabiting western and central Afghanistan.
  • D. Askainen
    Askainen is a village and former municipality in southwestern Finland known for its historic Loukko Manor and coastal rural landscape.
  • E. Askim
    Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
  • 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: Ais
Triple: [Mayaimi people, neighboringGroup, Ais]
Generated description
The Ais were a Native American people who inhabited the Atlantic coast of what is now central and southeastern Florida prior to European colonization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ais
Target entity description: The Ais were a Native American people who inhabited the Atlantic coast of what is now central and southeastern Florida prior to European colonization.
  • A. Ain
    Ain is a department in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
  • B. Aua
    Aua is a coastal village on the island of Tutuila in American Samoa, known for its traditional Samoan community and proximity to Pago Pago Harbor.
  • C. Aimaqs
    The Aimaqs are a collection of semi-nomadic, Persian-speaking ethnic groups primarily inhabiting western and central Afghanistan.
  • D. Askainen
    Askainen is a village and former municipality in southwestern Finland known for its historic Loukko Manor and coastal rural landscape.
  • E. Askim
    Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e22f3688190a512bec3f0347814 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5554b4f888190b9b64ece37087bf4 completed March 2, 2026, 9:15 a.m.
NEDg Description generation batch_69a555ae08b88190aad64ec7923437ef completed March 2, 2026, 9:17 a.m.
NED2 Entity disambiguation (via description) batch_69a556669878819098816d2221a3fd3d completed March 2, 2026, 9:20 a.m.
Created at: March 1, 2026, 7:35 p.m.