Triple

T26135052
Position Surface form Disambiguated ID Type / Status
Subject Owenga E659354 entity
Predicate locatedOnCoastOf P212 FINISHED
Object Chatham Island east coast
Chatham Island east coast is the remote eastern shoreline of New Zealand’s Chatham Island, characterized by rugged coastal landscapes and small settlements such as Owenga.
E1727954 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: Chatham Island east coast | Statement: [Owenga, locatedOnCoastOf, Chatham Island east coast]
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: Chatham Island east coast
Triple: [Owenga, locatedOnCoastOf, Chatham Island east coast]
Generated description
Chatham Island east coast is the remote eastern shoreline of New Zealand’s Chatham Island, characterized by rugged coastal landscapes and small settlements such as Owenga.

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_69ee5bc3c20c8190bf2cf272f4170e95 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f60b96085c81908a43574f4e07e70d completed May 2, 2026, 2:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11bafc26f881909a7a5b12bdd422c6 completed May 23, 2026, 2:34 p.m.
NEDg Description generation batch_6a11be5eaa64819093fca394daf91d90 completed May 23, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_6a11bf1dd27c8190b77577de860ac016 completed May 23, 2026, 2:52 p.m.
Created at: April 26, 2026, 8:17 p.m.