Triple

T31004519

Position	Surface form	Disambiguated ID	Type / Status
Subject	Liverpool Bay oil and gas fields	`E790031`	entity
Predicate	hasCentralProcessingPlatform	`P11917`	FINISHED
Object	Douglas platform The Douglas platform is an offshore central processing installation in the Liverpool Bay area that handles production from surrounding oil and gas fields in the Irish Sea.	`E1942775`	NE FINISHED

How this triple was built (3 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: Douglas platform | Statement: [Liverpool Bay oil and gas fields, hasCentralProcessingPlatform, Douglas platform]

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: Douglas platform
Triple: [Liverpool Bay oil and gas fields, hasCentralProcessingPlatform, Douglas platform]

Generated description

The Douglas platform is an offshore central processing installation in the Liverpool Bay area that handles production from surrounding oil and gas fields in the Irish Sea.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasCentralProcessingPlatform
Context triple: [Liverpool Bay oil and gas fields, hasCentralProcessingPlatform, Douglas platform]

A. hasOnboardComputer
Indicates that one entity is equipped with or contains an onboard computer system.
B. hasProcessingUnits
Indicates that an entity is equipped with or contains one or more processing units (such as CPUs, GPUs, or similar computational components).
C. hasPrimaryPlatform chosen
Indicates that one entity is designated as the main or principal platform associated with another entity.
D. hardwarePlatformFor
Indicates that one entity serves as the hardware platform on which another entity is designed to run or be deployed.
E. computingModel
Indicates the computational framework, paradigm, or formal system used to perform or describe a computation.
F. None of above.

Provenance (6 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_69f224c73ca48190a1e46cb58ad4045b`	completed	April 29, 2026, 3:33 p.m.
NER	Named-entity recognition	`batch_69f7516d5b4081908588a6feb541f355`	completed	May 3, 2026, 1:45 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a29183441a881909b5d2da676433345`	completed	June 10, 2026, 7:54 a.m.
NEDg	Description generation	`batch_6a2918f4ee448190baf0697c0a4bac1c`	completed	June 10, 2026, 7:57 a.m.
NED2	Entity disambiguation (via description)	`batch_6a291bbf5db88190b416bbf549343a86`	completed	June 10, 2026, 8:09 a.m.
PD	Predicate disambiguation	`batch_69f74d40ebb081909daf60623e38f41d`	completed	May 3, 2026, 1:27 p.m.

Created at: April 29, 2026, 8:57 p.m.