Triple
T36422778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spur Tree |
E897207
|
entity |
| Predicate | connectsViaRoadTo |
P11435
|
FINISHED |
| Object | Jamaica south coast |
—
|
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: Jamaica south coast | Statement: [Spur Tree, connectsViaRoadTo, Jamaica south coast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsViaRoadTo Context triple: [Spur Tree, connectsViaRoadTo, Jamaica south coast]
-
A.
linkedByRoadTo
chosen
Indicates that two locations are directly connected to each other by a road suitable for travel.
-
B.
connectsToHighway
Indicates that one location, road, or route has a direct access point or linkage to a highway.
-
C.
roadTerminusOf
Indicates that a road ends at, or has its terminal point at, the referenced location or route.
-
D.
connectsRoadNetwork
Indicates that one entity is linked to another as part of the same road network, enabling continuous vehicular or transport connectivity between them.
-
E.
ropewayConnects
Indicates that a ropeway (such as a cable car or gondola system) provides a direct transportation connection between two locations.
- 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_69f76e559b10819099d6655a6e14587c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffac35ac5481908b6bdfd5bbe8c76e |
completed | May 9, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69ffabbfd2548190964c851496bbbaee |
completed | May 9, 2026, 9:48 p.m. |
Created at: May 3, 2026, 4:10 p.m.