Triple
T1832382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EV3 Intelligent Brick |
E40787
|
entity |
| Predicate | hasPorts |
P34282
|
FINISHED |
| Object | 4 input ports |
—
|
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: 4 input ports | Statement: [EV3 Intelligent Brick, hasPorts, 4 input ports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPorts Context triple: [EV3 Intelligent Brick, hasPorts, 4 input ports]
-
A.
hasMajorPort
Indicates that a location possesses a primary, significant seaport used for major commercial or transportation activities.
-
B.
hasPortOperator
Indicates that a port is operated, managed, or run by a specific port operator entity.
-
C.
hasPortType
Indicates that an entity is associated with, or characterized by, a specific type or category of port.
-
D.
hasPortico
Indicates that one entity (typically a building or structure) features a portico as part of its architectural design.
-
E.
hasPortCode
Indicates that an entity (such as a port or terminal) is associated with a specific standardized port code identifier.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb45402688190b9a535b14030c354 |
completed | March 7, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69abafd6a9948190ac2b2743db6f8f69 |
completed | March 7, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69abb4517f9c8190a5d9bc965a4f29c9 |
completed | March 7, 2026, 5:14 a.m. |
Created at: March 4, 2026, 7:32 p.m.