Triple
T37907580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minas-Rio |
E945596
|
entity |
| Predicate | pipelineEndpoint |
P136786
|
FINISHED |
| Object | Port of Açu |
—
|
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: Port of Açu | Statement: [Minas-Rio, pipelineEndpoint, Port of Açu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pipelineEndpoint Context triple: [Minas-Rio, pipelineEndpoint, Port of Açu]
-
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.
pipelineName
Indicates the designated name or identifier assigned to a specific pipeline within a process or system.
-
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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.