Triple
T94797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Lakefront |
E1905
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Grant Park lakefront |
E20446
|
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: Grant Park lakefront | Statement: [Chicago Lakefront, contains, Grant Park lakefront]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grant Park lakefront Context triple: [Chicago Lakefront, contains, Grant Park lakefront]
-
A.
Grant Park
chosen
Grant Park is a large historic public park in downtown Chicago known for its museums, gardens, and major cultural events.
-
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.
Chicago Lakefront
Chicago Lakefront is the scenic shoreline area along Lake Michigan in Chicago, known for its parks, beaches, trails, and iconic skyline views.
-
D.
Chicago Park District
The Chicago Park District is the municipal agency responsible for managing Chicago’s extensive system of public parks, recreational facilities, and open spaces.
-
E.
Navy Pier
Navy Pier is a historic lakefront entertainment and cultural destination in Chicago featuring attractions like rides, restaurants, theaters, and exhibition spaces along Lake Michigan.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24fd4777c81909ea9b9a6bd4f7ad5 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2e7df38a081909b0d82e6e2b1e7c5 |
completed | Feb. 28, 2026, 1:04 p.m. |
Created at: Feb. 28, 2026, 2:09 a.m.