Triple

T31338989
Position Surface form Disambiguated ID Type / Status
Subject Lower Bann Navigation E799252 entity
Predicate hasMouthNear P350 FINISHED
Object Portstewart Bay
Portstewart Bay is a scenic coastal inlet on the north coast of County Londonderry, Northern Ireland, known for its sandy beaches and views across the Atlantic Ocean.
E1972625 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: Portstewart Bay | Statement: [Lower Bann Navigation, hasMouthNear, Portstewart Bay]
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: Portstewart Bay
Triple: [Lower Bann Navigation, hasMouthNear, Portstewart Bay]
Generated description
Portstewart Bay is a scenic coastal inlet on the north coast of County Londonderry, Northern Ireland, known for its sandy beaches and views across the Atlantic Ocean.

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_69f224e3f6ac8190a13488516abca7c9 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69f127fdc81908f3493146be59cef completed May 3, 2026, 1:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b849793bc81909e77da03a5c63483 completed June 12, 2026, 4:01 a.m.
NEDg Description generation batch_6a2b852366948190b8b8641fe28b1d81 completed June 12, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_6a2b8598ebb481909235beb350564bce completed June 12, 2026, 4:05 a.m.
Created at: April 29, 2026, 9:16 p.m.