Triple
T3800153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mini DisplayPort |
E91667
|
entity |
| Predicate | physicalConnectorShape |
P9336
|
FINISHED |
| Object | rectangular |
—
|
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: rectangular | Statement: [Mini DisplayPort, physicalConnectorShape, rectangular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: physicalConnectorShape Context triple: [Mini DisplayPort, physicalConnectorShape, rectangular]
-
A.
hasPowerSupplyType
Indicates that an entity is associated with a specific type or category of power supply it uses or requires.
-
B.
hasFormFactor
chosen
Indicates that one entity possesses or is characterized by a particular physical or structural form factor defined by another entity.
-
C.
spacecraftShape
Indicates the geometric form or physical configuration that a spacecraft possesses.
-
D.
hardwareRole
Indicates the functional role or purpose that a piece of hardware serves within a system or configuration.
-
E.
shaped
Indicates that one entity has given form, contour, or structure to another entity or outcome.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8db8a288190afd1e3b9dcf02e97 |
completed | March 9, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69aee7461abc8190945716f4b93e1a18 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:15 p.m.