Triple
T3543572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTA Blue Line |
E74942
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Logan Square |
E372526
|
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: Logan Square | Statement: [CTA Blue Line, hasStation, Logan Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Logan Square Context triple: [CTA Blue Line, hasStation, Logan Square]
-
A.
Logan Square
Logan Square is a notable public square and local landmark situated in the Hyde Park neighborhood of Boston, Massachusetts.
-
B.
Logan Square
chosen
Logan Square is a vibrant Chicago neighborhood known for its historic boulevards, diverse dining and nightlife, and a mix of classic greystone buildings and newer developments.
-
C.
Logan Square neighborhood
Logan Square neighborhood is a central Philadelphia district known for its cultural institutions, museums, and prominent public spaces like Logan Circle along the Benjamin Franklin Parkway.
-
D.
Wicker Park
Wicker Park is a 2004 romantic psychological thriller film starring Josh Hartnett, known for its intricate plot about obsession, mistaken identity, and lost love.
-
E.
Wicker Park
Wicker Park is a trendy Chicago neighborhood known for its vibrant arts scene, nightlife, and eclectic mix of boutiques, restaurants, and music venues.
- 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_69b503d9643881909737836640c22802 |
completed | March 14, 2026, 6:44 a.m. |
Created at: March 8, 2026, 3:20 p.m.