Triple

T36553981
Position Surface form Disambiguated ID Type / Status
Subject Te Anau Downs area E901646 entity
Predicate partOf P40 FINISHED
Object Te Anau Basin
Te Anau Basin is a glacially formed lowland region in New Zealand’s South Island, surrounding Lake Te Anau and encompassing areas such as Te Anau Downs within the Fiordland landscape.
E2190485 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: Te Anau Basin | Statement: [Te Anau Downs area, partOf, Te Anau Basin]
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: Te Anau Basin
Triple: [Te Anau Downs area, partOf, Te Anau Basin]
Generated description
Te Anau Basin is a glacially formed lowland region in New Zealand’s South Island, surrounding Lake Te Anau and encompassing areas such as Te Anau Downs within the Fiordland landscape.

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_69f76e634e9481908c9ba1b87ab87c26 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c26125e08190b87a40a4ecb84719 completed May 3, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39f90809988190952ff4e7bc30f45e completed June 23, 2026, 3:10 a.m.
NEDg Description generation batch_6a39fa1e05b4819095898ab7c705a733 completed June 23, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_6a39fb708b9081909e1fd15f3a44f11c completed June 23, 2026, 3:20 a.m.
Created at: May 3, 2026, 4:11 p.m.