Triple
T31948190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mellitah Oil and Gas |
E815707
|
entity |
| Predicate | GreenstreamPipelineDestination |
P136786
|
FINISHED |
| Object | Gela terminal in Sicily |
—
|
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: Gela terminal in Sicily | Statement: [Mellitah Oil and Gas, GreenstreamPipelineDestination, Gela terminal in Sicily]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GreenstreamPipelineDestination Context triple: [Mellitah Oil and Gas, GreenstreamPipelineDestination, Gela terminal in Sicily]
-
A.
pipelineDestination
chosen
Indicates that one entity serves as the target or endpoint to which a pipeline directs its output or flow.
-
B.
pipelineConfiguration
Indicates that one entity defines or specifies the configuration settings or structure used by a processing pipeline associated with another entity.
-
C.
pipelineTo
Indicates that data, output, or results from one process, component, or stage are directed and fed as input into another in a sequential flow.
-
D.
lavaFlowDestination
Indicates the location or feature toward which a lava flow moves or ultimately comes to rest.
-
E.
pipeline
Indicates a sequential process or workflow where the output of one stage is passed as input to the next to achieve a final result.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b27b51c88190b56dc3f22f934aff |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:07 a.m.