Triple
T24153496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claiborne Pell Newport Bridge |
E598605
|
entity |
| Predicate | connectsIslandWithMainland |
P154802
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Claiborne Pell Newport Bridge, connectsIslandWithMainland, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsIslandWithMainland Context triple: [Claiborne Pell Newport Bridge, connectsIslandWithMainland, yes]
-
A.
connectsIslands
Indicates a relationship where something (such as a structure, route, or link) joins or provides passage between two or more islands.
-
B.
connectsIslandSection
Indicates a relationship where one entity serves as a link or passage that joins or bridges separate sections of an island.
-
C.
connectedIsland
Indicates that two islands are linked by a direct or indirect path, such that travel or communication between them is possible within the same connected group.
-
D.
hasIslandConnection
Indicates that there exists a connection or link between entities that specifically involves or passes through an island.
-
E.
hasConnectionToLand
Indicates that one entity is linked, attached, or otherwise related to a specific piece or area of land.
- 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_69e288c9e488819093dd1acd91b08b8a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e0e2e83081908e543ef266a27ec9 |
completed | April 29, 2026, 10:43 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 11:31 p.m.