Triple
T21135067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Kingston |
E520795
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Limestone City |
—
|
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: Limestone City | Statement: [City of Kingston, nickname, Limestone City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limestone City Context triple: [City of Kingston, nickname, Limestone City]
-
A.
Limestone City
chosen
Limestone City is a nickname for Kingston, Ontario, reflecting its many historic buildings constructed from local limestone.
-
B.
Basin City
Basin City is the gritty, crime-ridden fictional metropolis that serves as the primary setting for Frank Miller’s Sin City graphic novels and their film adaptations.
-
C.
Mingo City
Mingo City is the capital stronghold of the tyrant Ming the Merciless on the planet Mongo in the Flash Gordon universe.
-
D.
Spring City
Spring City is the popular nickname of Kunming, the capital of Yunnan Province in China, renowned for its mild, spring-like climate year-round.
-
E.
Spring City
Spring City is a nickname for Waukesha, Wisconsin, reflecting its historic abundance of natural springs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723592fd48190ba5977a1b229d51e |
completed | April 21, 2026, 7:12 a.m. |
Created at: April 16, 2026, 2:57 p.m.