Triple
T14478529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Gandia |
E359039
|
entity |
| Predicate | portSystem |
P114348
|
FINISHED |
| Object | Port of Valencia system |
—
|
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: Port of Valencia system | Statement: [Port of Gandia, portSystem, Port of Valencia system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portSystem Context triple: [Port of Gandia, portSystem, Port of Valencia system]
-
A.
portConfiguration
Indicates how ports are arranged, assigned, or set up for use within a system or device.
-
B.
port
Indicates a relationship where one entity serves as a harbor, access point, or interface through which another entity can enter, exit, or connect.
-
C.
portFunction
Indicates the specific operational role or purpose that a port serves within a system or network.
-
D.
portLocation
Indicates that a port is geographically situated at or associated with a specific location.
-
E.
portConnections
Indicates that there exists a connection or linkage between two ports or interfaces.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9248edb48190a74eb032aeaac027 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:20 a.m.