Triple

T9559058
Position Surface form Disambiguated ID Type / Status
Subject Mitiaro E230622 entity
Predicate hasSettlement P1068 FINISHED
Object Auta
Auta is a small settlement on the island of Mitiaro in the Cook Islands.
 E806531 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: Auta | Statement: [Mitiaro, hasSettlement, Auta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Auta
Context triple: [Mitiaro, hasSettlement, Auta]
  • A. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • B. Marut
    Marut is a group of storm deities in Hindu mythology, often associated with thunder, wind, and the god Indra.
  • C. Aoto
    Aoto is a neighborhood in Tokyo, Japan, located within Katsushika Ward and known as a residential and commercial area with convenient rail access.
  • D. Azuga
    Azuga is a small mountain resort town in Romania known for its ski slopes and scenic location in the Carpathian Mountains.
  • E. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • 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: Auta
Triple: [Mitiaro, hasSettlement, Auta]
Generated description
Auta is a small settlement on the island of Mitiaro in the Cook Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Auta
Target entity description: Auta is a small settlement on the island of Mitiaro in the Cook Islands.
  • A. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • B. Marut
    Marut is a group of storm deities in Hindu mythology, often associated with thunder, wind, and the god Indra.
  • C. Aoto
    Aoto is a neighborhood in Tokyo, Japan, located within Katsushika Ward and known as a residential and commercial area with convenient rail access.
  • D. Azuga
    Azuga is a small mountain resort town in Romania known for its ski slopes and scenic location in the Carpathian Mountains.
  • E. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd994a7e9c8190b68883c2ea45aa1a completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d15296303c8190adda4b24036d9390 completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d1539bad8481909f9bd060aa3b651c completed April 4, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69d154567f408190a848eea4ca905fb6 completed April 4, 2026, 6:11 p.m.
Created at: March 30, 2026, 8:03 p.m.