Triple

T31997839
Position Surface form Disambiguated ID Type / Status
Subject Southern Victoria E817040 entity
Predicate hasPart P35 FINISHED
Object Kingston City coastal area
Kingston City coastal area is a stretch of suburban coastline in southern Victoria, Australia, known for its sandy beaches, foreshore reserves, and recreational waterfront amenities along Port Phillip Bay.
 E1986664 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: Kingston City coastal area | Statement: [Southern Victoria, hasPart, Kingston City coastal 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: Kingston City coastal area
Triple: [Southern Victoria, hasPart, Kingston City coastal area]
Generated description
Kingston City coastal area is a stretch of suburban coastline in southern Victoria, Australia, known for its sandy beaches, foreshore reserves, and recreational waterfront amenities along Port Phillip Bay.

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_69f348f8ce388190ae84376b1f348f12 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b3f96890819083369dc90fcd98fd completed May 3, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2eb15f38fc8190a321b731efcd60b3 completed June 14, 2026, 1:49 p.m.
NEDg Description generation batch_6a2eb26e95e48190ac2874da8190cf01 completed June 14, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_6a2eb30a4d5081908fb873c1d8048e1c completed June 14, 2026, 1:56 p.m.
Created at: May 1, 2026, 12:14 a.m.