Triple

T35848320
Position Surface form Disambiguated ID Type / Status
Subject Stanley, Tasmania E1036276 entity
Predicate partOf P40 FINISHED
Object Circular Head region
The Circular Head region is a local government area in north-western Tasmania, Australia, known for its coastal landscapes, agriculture, and the historic town of Stanley.
E2159017 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: Circular Head region | Statement: [Stanley, Tasmania, partOf, Circular Head 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: Circular Head region
Triple: [Stanley, Tasmania, partOf, Circular Head region]
Generated description
The Circular Head region is a local government area in north-western Tasmania, Australia, known for its coastal landscapes, agriculture, and the historic town of Stanley.

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_69f76e1a29e8819088280f26096aeb55 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a94e993081909cc5a1273f3c2e81 completed May 3, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_6a389c2af8188190837e542578cf6d9a completed June 22, 2026, 2:21 a.m.
NEDg Description generation batch_6a389edcb9548190b66de42ee585319e completed June 22, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_6a38a00b69648190b4ce418ac8d9e33a completed June 22, 2026, 2:38 a.m.
Created at: May 3, 2026, 4:06 p.m.