Triple
T23212087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gail |
E580622
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Basin 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: Basin City | Statement: [Gail, setting, Basin City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basin City Context triple: [Gail, setting, Basin City]
-
A.
Basin City
chosen
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.
-
B.
Limestone City
Limestone City is a nickname for Kingston, Ontario, reflecting its many historic buildings constructed from local limestone.
-
C.
Shell City
Shell City is a fictional gift shop and tourist attraction in The SpongeBob SquarePants Movie, infamous as the perilous destination at the end of the ocean where sea creatures are taken and dried.
-
D.
Barb City
Barb City is the nickname of DeKalb, Illinois, reflecting its historical prominence in the barbed wire industry.
-
E.
Lumber City
Lumber City is the historic nickname of North Tonawanda, New York, reflecting its past prominence as a major center of the lumber industry.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f191620378819096362252c3b819b6 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:07 p.m.