Triple
T82618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chi-Town |
E1659
|
entity |
| Predicate | hasSpellingVariant |
P457
|
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: [Chi-Town, hasSpellingVariant, Chi-town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chi-town Context triple: [Chi-Town, hasSpellingVariant, 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.
San Francisco
San Francisco is a major coastal city in Northern California known for its hilly landscape, iconic Golden Gate Bridge, and role as a historic center of technology and counterculture.
-
C.
Riverside
Riverside is a major inland city in Southern California known as the birthplace of the California citrus industry and a key center of the Inland Empire region.
-
D.
Los Angeles
Los Angeles is a major U.S. metropolis known for its entertainment industry, cultural diversity, and sprawling urban landscape.
-
E.
San Diego
San Diego is a large coastal city in Southern California known for its mild climate, beaches, naval base, and proximity to the Mexican border.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a2567c90308190a9b989c586f7e559 |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c8b13ea08190940f8998a36d6e4e |
completed | March 1, 2026, 5:03 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.