Triple

T35624845
Position Surface form Disambiguated ID Type / Status
Subject Hilltops local government area E1029420 entity
Predicate contains P35 FINISHED
Object Galong, New South Wales
Galong, New South Wales is a small rural village in southern New South Wales, Australia, known for its historic monastery and cemetery and its role in the region’s agricultural activities.
E2146911 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: Galong, New South Wales | Statement: [Hilltops local government area, contains, Galong, New South Wales]
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: Galong, New South Wales
Triple: [Hilltops local government area, contains, Galong, New South Wales]
Generated description
Galong, New South Wales is a small rural village in southern New South Wales, Australia, known for its historic monastery and cemetery and its role in the region’s agricultural activities.

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_69f76e07bb0c8190968ea2d836fc42c9 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79ef4a5f481909f3241a4e20ea37e completed May 3, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a385bf681dc8190a1e50cae16584ec1 completed June 21, 2026, 9:47 p.m.
NEDg Description generation batch_6a385ca864588190840f72234f9223f9 completed June 21, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_6a385d3a47dc81909720cefd1e0bf838 completed June 21, 2026, 9:52 p.m.
Created at: May 3, 2026, 4:05 p.m.