Triple
T9908566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barra Isles |
E185079
|
entity |
| Predicate | hasCausewayLink |
P73024
|
FINISHED |
| Object | Vatersay |
—
|
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: Vatersay | Statement: [Barra Isles, hasCausewayLink, Vatersay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCausewayLink Context triple: [Barra Isles, hasCausewayLink, Vatersay]
-
A.
hasCausewayConnection
chosen
Indicates a relationship where two locations are physically linked by a causeway, allowing passage between them.
-
B.
isOnCauseway
Indicates that one entity is located on or positioned along a raised road or path (a causeway), typically elevated above surrounding terrain or water.
-
C.
causewayType
Indicates the specific kind or classification of a causeway associated with an entity.
-
D.
isCarriagewayOf
Indicates that a given road segment functions as a carriageway that forms part of, or belongs to, a larger road or route.
-
E.
hasRoadway
Indicates that one location or area is connected to another by a road or roadway infrastructure.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50feb008190aa9c084f590c0ebd |
completed | April 2, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:41 p.m.