Triple

T26597896
Position Surface form Disambiguated ID Type / Status
Subject Western Polynesia E667539 entity
Predicate borderedBy P224 FINISHED
Object Central Polynesia
Central Polynesia is a subregion of Polynesia in the central Pacific Ocean, encompassing island groups such as the Cook Islands, Tuamotu Archipelago, and the Society Islands.
E1731318 NE FINISHED

How this triple was built (2 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: Central Polynesia | Statement: [Western Polynesia, borderedBy, Central Polynesia]
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: Central Polynesia
Triple: [Western Polynesia, borderedBy, Central Polynesia]
Generated description
Central Polynesia is a subregion of Polynesia in the central Pacific Ocean, encompassing island groups such as the Cook Islands, Tuamotu Archipelago, and the Society Islands.

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_69ee9cfc385081909ac9ae178030a06e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f6156db8c081909facff45ff1cda55 completed May 2, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c83f3f288190aed2546950bc946e completed May 23, 2026, 3:31 p.m.
NEDg Description generation batch_6a11c91aa6888190b17f656a39eefd1e completed May 23, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_6a11ca5af2a88190b64f3929d0abb7c8 completed May 23, 2026, 3:40 p.m.
Created at: April 27, 2026, 2:11 a.m.