Triple

T38512923
Position Surface form Disambiguated ID Type / Status
Subject Ross River Dam E921960 entity
Predicate locatedNear P294 FINISHED
Object Upper Ross area
The Upper Ross area is a suburban district in Townsville, Queensland, known for its proximity to the Ross River and Ross River Dam and its mix of residential communities and natural bushland.
E2273767 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: Upper Ross area | Statement: [Ross River Dam, locatedNear, Upper Ross area]
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: Upper Ross area
Triple: [Ross River Dam, locatedNear, Upper Ross area]
Generated description
The Upper Ross area is a suburban district in Townsville, Queensland, known for its proximity to the Ross River and Ross River Dam and its mix of residential communities and natural bushland.

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_69f76ea3c5448190aa7002fc1ba3f874 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd28e4d68819083ea0fa4a731fa43 completed May 7, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41d6620d68819092a48ef180055be4 completed June 29, 2026, 2:20 a.m.
NEDg Description generation batch_6a41db13f8d88190a5be321217369ee5 completed June 29, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_6a41dba5b784819093a5c975762bf095 completed June 29, 2026, 2:42 a.m.
Created at: May 3, 2026, 4:32 p.m.