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 |
—
|
NE NERFINISHED |
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: Douglas platform | Statement: [Liverpool Bay oil and gas fields, hasCentralProcessingPlatform, Douglas platform]
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 (3 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. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 29, 2026, 8:57 p.m.