Triple

T36553845

Position	Surface form	Disambiguated ID	Type / Status
Subject	Kepler Track multi-day circuit	`E901643`	entity
Predicate	features	`P997`	FINISHED
Object	Iris Burn Valley Iris Burn Valley is a remote, glacier-carved valley in Fiordland National Park, New Zealand, known for its lush beech forest, waterfalls, and dramatic alpine scenery along the Kepler Track.	`E2188554`	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: Iris Burn Valley | Statement: [Kepler Track multi-day circuit, features, Iris Burn Valley]

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: Iris Burn Valley
Triple: [Kepler Track multi-day circuit, features, Iris Burn Valley]

Generated description

Iris Burn Valley is a remote, glacier-carved valley in Fiordland National Park, New Zealand, known for its lush beech forest, waterfalls, and dramatic alpine scenery along the Kepler Track.

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_6a39e6ed9c74819097b61b69de338a00`	completed	June 23, 2026, 1:52 a.m.
NEDg	Description generation	`batch_6a39e76e610081909e3f832eaf70b746`	completed	June 23, 2026, 1:54 a.m.
NED2	Entity disambiguation (via description)	`batch_6a39e88d8954819083d2669a9223a0aa`	completed	June 23, 2026, 1:59 a.m.

Created at: May 3, 2026, 4:11 p.m.