Triple
T3543582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTA Blue Line |
E74942
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Jackson |
E364272
|
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: Jackson | Statement: [CTA Blue Line, hasStation, Jackson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jackson Context triple: [CTA Blue Line, hasStation, Jackson]
-
A.
Jackson
Jackson is a common English surname borne by numerous notable figures across politics, science, sports, and the arts.
-
B.
Jackson
Jackson is a historic Gold Rush-era town in California’s Sierra Nevada foothills, known for its mining heritage and role in the development of the Mother Lode region.
-
C.
Jackson
chosen
Jackson is a major Chicago 'L' station in the Loop that serves the CTA Red Line and connects with multiple other transit lines.
-
D.
Knox
Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
-
E.
Jackson, Tennessee
Jackson, Tennessee is a mid-sized city in West Tennessee known as a regional hub for commerce, education, and the judiciary, including serving as one of the locations where the Tennessee Supreme Court convenes.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf752dd481909226044ffe595338 |
completed | March 8, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bdd0cb4819086119b54c2708850 |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:20 p.m.