Triple

T35586338
Position Surface form Disambiguated ID Type / Status
Subject West Tamar Council area E1028367 entity
Predicate hasCoastlineOn P212 FINISHED
Object Tamar River estuary
The Tamar River estuary is a major tidal estuary in northern Tasmania, Australia, known for its sheltered waterways, maritime activities, and surrounding agricultural and residential landscapes.
E2149543 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: Tamar River estuary | Statement: [West Tamar Council area, hasCoastlineOn, Tamar River estuary]
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: Tamar River estuary
Triple: [West Tamar Council area, hasCoastlineOn, Tamar River estuary]
Generated description
The Tamar River estuary is a major tidal estuary in northern Tasmania, Australia, known for its sheltered waterways, maritime activities, and surrounding agricultural and residential 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_69f76e0495a081909beced418558c0b4 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79e8721a88190b93526c13f5a812a completed May 3, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a386840a3688190b71f88fc79237177 completed June 21, 2026, 10:40 p.m.
NEDg Description generation batch_6a386913196c81908274a2e909d943b8 completed June 21, 2026, 10:43 p.m.
NED2 Entity disambiguation (via description) batch_6a3869ef06088190a5e72b39204adf85 completed June 21, 2026, 10:47 p.m.
Created at: May 3, 2026, 4:04 p.m.