Triple
T2129456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sin City |
E46502
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object |
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.
|
E237843
|
NE FINISHED |
How this triple was built (4 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: [Sin City, setIn, Basin City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basin City Context triple: [Sin City, setIn, Basin City]
-
A.
Limestone City
Limestone City is a nickname for Kingston, Ontario, reflecting its many historic buildings constructed from local limestone.
-
B.
Pelham
Pelham is an English surname historically associated with prominent political and aristocratic families in Britain.
-
C.
Pelham
Pelham is the first name of P. G. Wodehouse, the celebrated English humorist and author known for his Jeeves and Wooster stories.
-
D.
Fountain City
Fountain City is a suburban community and former unincorporated town now functioning as a neighborhood within the Knoxville metropolitan area in Tennessee.
-
E.
River City
River City is a popular nickname for Wuhan, a major central Chinese metropolis known for its location at the confluence of the Yangtze and Han rivers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Basin City Triple: [Sin City, setIn, Basin City]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Basin City Target entity description: 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.
-
A.
Limestone City
Limestone City is a nickname for Kingston, Ontario, reflecting its many historic buildings constructed from local limestone.
-
B.
Pelham
Pelham is an English surname historically associated with prominent political and aristocratic families in Britain.
-
C.
Pelham
Pelham is the first name of P. G. Wodehouse, the celebrated English humorist and author known for his Jeeves and Wooster stories.
-
D.
Fountain City
Fountain City is a suburban community and former unincorporated town now functioning as a neighborhood within the Knoxville metropolitan area in Tennessee.
-
E.
River City
River City is a popular nickname for Wuhan, a major central Chinese metropolis known for its location at the confluence of the Yangtze and Han rivers.
- F. None of above. chosen
Provenance (5 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb77ccc4819087bee5dbb91b5ae8 |
completed | March 7, 2026, 5:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51a36398819081df18cc18bc3456 |
completed | March 9, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69ae528634608190bf10e3abf5a2c2d9 |
completed | March 9, 2026, 4:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae536431bc8190b9f293d74046cb27 |
completed | March 9, 2026, 4:58 a.m. |
Created at: March 4, 2026, 7:44 p.m.