Triple
T16023727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple connectors |
E388666
|
entity |
| Predicate | includesConnectorType |
P1374
|
FINISHED |
| Object | 30-pin dock connector |
—
|
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: 30-pin dock connector | Statement: [Apple connectors, includesConnectorType, 30-pin dock connector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesConnectorType Context triple: [Apple connectors, includesConnectorType, 30-pin dock connector]
-
A.
connectorType
chosen
Indicates the specific kind or category of connection interface that links two entities.
-
B.
hasConnector
Indicates that one entity is linked or joined to another entity through a connector or connecting element.
-
C.
connectorTypeDesignation
Indicates the specific type or classification assigned to a connector within a connection or interface relationship.
-
D.
commonConnectorName
Indicates that two or more entities share the same connector name used to link or interface them.
-
E.
interconnectionType
Indicates the specific kind or nature of relationship that links two or more entities together.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:55 a.m.