Triple

T36040884
Position Surface form Disambiguated ID Type / Status
Subject Merri Creek Trail E1042536 entity
Predicate locatedIn P40 FINISHED
Object inner-northern Melbourne
Inner-northern Melbourne is a largely residential and culturally diverse urban area just north of Melbourne’s central business district, known for its vibrant neighborhoods, parks, and extensive cycling and walking paths.
 E2167266 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: inner-northern Melbourne | Statement: [Merri Creek Trail, locatedIn, inner-northern Melbourne]
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: inner-northern Melbourne
Triple: [Merri Creek Trail, locatedIn, inner-northern Melbourne]
Generated description
Inner-northern Melbourne is a largely residential and culturally diverse urban area just north of Melbourne’s central business district, known for its vibrant neighborhoods, parks, and extensive cycling and walking paths.

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_69f76e2d7e8c8190bac4e90734566799 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7b1c052e88190973dd29da64a0cdb completed May 3, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38cb97801881909b0abce3651bece3 completed June 22, 2026, 5:43 a.m.
NEDg Description generation batch_6a38ce1fd6708190a4ed3a2ad99491c9 completed June 22, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_6a38ce7e861c81909ce2a8947c53e624 completed June 22, 2026, 5:56 a.m.
Created at: May 3, 2026, 4:07 p.m.