Triple
T34310833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islesboro–Lincolnville ferry |
E880437
|
entity |
| Predicate | landingLocationOnIsland |
P87040
|
FINISHED |
| Object | Islesboro ferry terminal |
—
|
NE NERFINISHED |
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: Islesboro ferry terminal | Statement: [Islesboro–Lincolnville ferry, landingLocationOnIsland, Islesboro ferry terminal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landingLocationOnIsland Context triple: [Islesboro–Lincolnville ferry, landingLocationOnIsland, Islesboro ferry terminal]
-
A.
destinationIsland
Indicates the island that serves as the endpoint or target location to which someone or something is going or being directed.
-
B.
hasIslandLanding
chosen
Indicates that an entity includes or provides a designated landing area or facility located on an island.
-
C.
landingPlace
Indicates the location or surface where something or someone comes down to rest after moving through the air or space.
-
D.
landfallLocation
Indicates the geographic location where a storm or similar weather system first makes landfall.
-
E.
relativeLocationOnIsland
Indicates a spatial relationship where one entity’s position is described relative to another entity specifically in the context of being on an island.
- 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_69f349b8bb6c8190ad12a7957a574f04 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:57 a.m.