Triple
T9761575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSString |
E236682
|
entity |
| Predicate | bridgedTo |
P36619
|
FINISHED |
| Object | Swift String |
—
|
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: Swift String | Statement: [NSString, bridgedTo, Swift String]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bridgedTo Context triple: [NSString, bridgedTo, Swift String]
-
A.
bridged
Indicates that one entity has formed a connection or link that spans across or over another entity, effectively joining two previously separated points.
-
B.
hasBridgeTo
chosen
Indicates that one entity is connected to another by a bridge or bridging structure that allows passage or linkage between them.
-
C.
bridgesBetween
Indicates a relationship where something connects or links two otherwise separate entities, contexts, or states, enabling interaction or transition between them.
-
D.
bridgeLocation
Indicates the specific place or area where a bridge is situated or spans.
-
E.
hasBridges
Indicates that one entity possesses, contains, or is characterized by one or more bridges connecting locations or components.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda04c70108190a8ed09eb6f2a124e |
completed | April 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:25 p.m.