Triple

T35764833
Position Surface form Disambiguated ID Type / Status
Subject Valley of the Waters E1033986 entity
Predicate accessPoint P1985 FINISHED
Object Conservation Hut
Conservation Hut is a popular café and bushwalking hub in the Blue Mountains of New South Wales, Australia, serving as a starting point for numerous scenic trails including those in the Valley of the Waters.
E2154941 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: Conservation Hut | Statement: [Valley of the Waters, accessPoint, Conservation Hut]
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: Conservation Hut
Triple: [Valley of the Waters, accessPoint, Conservation Hut]
Generated description
Conservation Hut is a popular café and bushwalking hub in the Blue Mountains of New South Wales, Australia, serving as a starting point for numerous scenic trails including those in the Valley of the Waters.

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_69f76e13edd081909101629aa829c4ad completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a1c740a08190811bce8764914921 completed May 3, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3885fdd2a88190acf3ad386f55eb35 completed June 22, 2026, 12:46 a.m.
NEDg Description generation batch_6a3886de289881909bbf9a97aae181d4 completed June 22, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_6a3887d8cec0819093e671703bfd1fca completed June 22, 2026, 12:54 a.m.
Created at: May 3, 2026, 4:06 p.m.