Triple
T9010388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ust-Luga |
E215452
|
entity |
| Predicate | hasPipelineTerminal |
P85708
|
FINISHED |
| Object | oil terminal |
—
|
LITERAL 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: oil terminal | Statement: [Ust-Luga, hasPipelineTerminal, oil terminal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPipelineTerminal Context triple: [Ust-Luga, hasPipelineTerminal, oil terminal]
-
A.
hasPipelineConnection
Indicates that one entity is linked to another via a pipeline through which materials, fluids, or data can flow.
-
B.
hasTerminusIn
Indicates that something (such as a route, line, or path) ends or has its final stopping point at a specified location.
-
C.
hasTerminalFunction
Indicates that something possesses a function or role specifically associated with an endpoint, boundary, or final stage within a system or process.
-
D.
hasSubTerminal
Indicates that an entity includes or is associated with a subordinate or lower-level terminal element within a hierarchical structure.
-
E.
hasTerminalShape
Indicates that one entity possesses or exhibits a particular terminal (end) shape defined by another entity.
- F. None of above. chosen
Provenance (4 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69c1571881908d0b144786b5ee1f |
completed | April 1, 2026, 12:41 a.m. |
| PD | Predicate disambiguation | batch_69cc5edf84408190aa5f57cb8bfd00e1 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f6dec4081909379bd57c02a5710 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:06 p.m.