Triple
T28972049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SFF-8639 |
E734298
|
entity |
| Predicate | connectorPosition |
P194176
|
FINISHED |
| Object | drive side |
—
|
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: drive side | Statement: [SFF-8639, connectorPosition, drive side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectorPosition Context triple: [SFF-8639, connectorPosition, drive side]
-
A.
connectorTypeDesignation
Indicates the specific type or classification assigned to a connector within a connection or interface relationship.
-
B.
connectorType
Indicates the specific kind or category of connection interface that links two entities.
-
C.
connectorDesign
Indicates a relationship where one entity specifies or defines the design or configuration of a connector used to link or interface components.
-
D.
batteryConnectorType
Indicates the specific type or standard of connector used to interface a battery with other components or systems.
-
E.
linkedPosition
Indicates that one position is associated or connected to another position in a defined way.
- 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_69f05b0d1e7c819092baab93d3fe277e |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
| PDg | Predicate description generation | batch_69fd67182c348190aa84a02e08dbf4e1 |
completed | May 8, 2026, 4:31 a.m. |
Created at: April 28, 2026, 9:06 a.m.