Triple
T13898157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liguanea |
E334146
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Kingston urban area |
E345139
|
NE 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: Kingston urban area | Statement: [Liguanea, partOf, Kingston urban area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kingston urban area Context triple: [Liguanea, partOf, Kingston urban area]
-
A.
Kingston Metropolitan Area
chosen
The Kingston Metropolitan Area is Jamaica’s largest urban and economic center, encompassing the capital city of Kingston and surrounding communities within St. Andrew Parish.
-
B.
Kingston
Kingston is the largest city of Jamaica and its political, cultural, and economic center.
-
C.
Kingston
Kingston is a coastal town in Plymouth County, Massachusetts, known for its historic New England character and proximity to Cape Cod Bay.
-
D.
Kingston
Kingston is a small waterfront community in Washington State known as a ferry terminal town on the Kitsap Peninsula.
-
E.
Kingston
Kingston is a small historic town in Bartow County, Georgia, known for its Civil War heritage and preserved Southern charm.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d8897881908b770cdb565898d4 |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3cfd550c81909ad487d3d7d7c313 |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 9, 2026, 10:15 p.m.