Triple
T57971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navy Pier |
E1147
|
entity |
| Predicate | renamed |
P1742
|
FINISHED |
| Object | Navy Pier |
E1147
|
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: Navy Pier | Statement: [Navy Pier, renamed, Navy Pier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navy Pier Context triple: [Navy Pier, renamed, Navy Pier]
-
A.
Navy Pier
chosen
Navy Pier is a historic lakefront entertainment and cultural destination in Chicago featuring attractions like rides, restaurants, theaters, and exhibition spaces along Lake Michigan.
-
B.
Millennium Park
Millennium Park is a major public park and cultural attraction in downtown Chicago known for its modern art installations, architecture, and outdoor events.
-
C.
Wrigley Square
Wrigley Square is a landscaped plaza in Chicago’s Millennium Park best known for its classical-style Millennium Monument and open gathering space.
-
D.
Shedd Aquarium
Shedd Aquarium is a major indoor public aquarium in Chicago renowned for its extensive marine life exhibits and role in aquatic conservation and education.
-
E.
Chicago Lakefront
Chicago Lakefront is the scenic shoreline area along Lake Michigan in Chicago, known for its parks, beaches, trails, and iconic skyline views.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24ec4d84c81908d85a1e941dbcd19 |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a29176de5c819086e1cfec0a23d9d7 |
completed | Feb. 28, 2026, 6:55 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.