Triple

T37453154
Position Surface form Disambiguated ID Type / Status
Subject UK Continental Shelf petroleum province E930721 entity
Predicate governedBy P46 FINISHED
Object UK Oil and Gas Authority
The UK Oil and Gas Authority is the UK government regulator responsible for overseeing and managing the country’s offshore oil and gas resources and operations.
E2227157 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: UK Oil and Gas Authority | Statement: [UK Continental Shelf petroleum province, governedBy, UK Oil and Gas Authority]
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: UK Oil and Gas Authority
Triple: [UK Continental Shelf petroleum province, governedBy, UK Oil and Gas Authority]
Generated description
The UK Oil and Gas Authority is the UK government regulator responsible for overseeing and managing the country’s offshore oil and gas resources and operations.

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_69f76ec1a1148190b0a961f188d621b0 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb8e0af8b08190ad7ac5c6188b4a9e completed May 6, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40826368b0819093d435ed2ce78419 completed June 28, 2026, 2:09 a.m.
NEDg Description generation batch_6a4083b24c048190b303b6eee1215f01 completed June 28, 2026, 2:15 a.m.
NED2 Entity disambiguation (via description) batch_6a408426fc288190aced51d929a577ef completed June 28, 2026, 2:17 a.m.
Created at: May 3, 2026, 4:17 p.m.