Triple

T26287337
Position Surface form Disambiguated ID Type / Status
Subject Granville railway station E661171 entity
Predicate locatedInLGA P40 FINISHED
Object Cumberland City Council
Cumberland City Council is a local government area in Western Sydney, New South Wales, responsible for providing municipal services and governance to a number of suburbs including Granville.
E1719140 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: Cumberland City Council | Statement: [Granville railway station, locatedInLGA, Cumberland City Council]
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: Cumberland City Council
Triple: [Granville railway station, locatedInLGA, Cumberland City Council]
Generated description
Cumberland City Council is a local government area in Western Sydney, New South Wales, responsible for providing municipal services and governance to a number of suburbs including Granville.

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_69ee812bbd448190be4d7478b057990a completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60e781b108190b5479e4992d58695 completed May 2, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118fc1efa48190952f756eee1b1cd2 completed May 23, 2026, 11:30 a.m.
NEDg Description generation batch_6a1190549934819082b10e07b035a7b9 completed May 23, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_6a11928405ac81908559a169b90f04a8 completed May 23, 2026, 11:41 a.m.
Created at: April 26, 2026, 10:06 p.m.