Triple
T11486436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Chicago |
E272290
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Chi-Town |
E1659
|
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: Chi-Town | Statement: [City of Chicago, nickname, Chi-Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chi-Town Context triple: [City of Chicago, nickname, Chi-Town]
-
A.
Chi-Town
chosen
Chi-Town is a popular nickname for the city of Chicago, reflecting its identity as a major cultural and economic hub in the United States.
-
B.
China Town
China Town was the original name of the Nevada settlement that later became the town of Dayton.
-
C.
China Town
"China Town" is a 1962 Hindi-language Indian crime thriller film starring Shammi Kapoor in a double role, known for its blend of suspense, music, and drama.
-
D.
Cream City
Cream City is a nickname for Milwaukee, Wisconsin, derived from the distinctive light-colored cream brick used in many of its historic buildings.
-
E.
Helix City
Helix City is a visionary architectural proposal characterized by spiraling, metabolist-inspired megastructures designed to accommodate dynamic urban growth and change.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a1fc9688190aacc2eed64229b79 |
completed | April 10, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6046076d0819087766bf905825217 |
completed | April 20, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:36 p.m.