Triple

T35476967
Position Surface form Disambiguated ID Type / Status
Subject Tasmanian regional aviation network E1025360 entity
Predicate servesRegion P82 FINISHED
Object King Island region
King Island region is a remote area of Tasmania, Australia, centered on King Island in Bass Strait and known for its agriculture, seafood, and rugged coastal landscapes.
E2148460 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: King Island region | Statement: [Tasmanian regional aviation network, servesRegion, King Island region]
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: King Island region
Triple: [Tasmanian regional aviation network, servesRegion, King Island region]
Generated description
King Island region is a remote area of Tasmania, Australia, centered on King Island in Bass Strait and known for its agriculture, seafood, and rugged coastal landscapes.

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_69f76dfadba0819083456aadcd6864ea completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f796e951b08190854327f83932c83c completed May 3, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a385bc2e2d88190bed5f1c420c0fddf completed June 21, 2026, 9:46 p.m.
NEDg Description generation batch_6a385cd2f1248190a26ee3bdc77db301 completed June 21, 2026, 9:51 p.m.
NED2 Entity disambiguation (via description) batch_6a3860e6f4c48190bc96b1c4d289e650 completed June 21, 2026, 10:08 p.m.
Created at: May 3, 2026, 4:04 p.m.