Triple
T15333252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State/Lake |
E366593
|
entity |
| Predicate | nearbyLandmark |
P350
|
FINISHED |
| Object | Daley Plaza |
E76176
|
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: Daley Plaza | Statement: [State/Lake, nearbyLandmark, Daley Plaza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daley Plaza Context triple: [State/Lake, nearbyLandmark, Daley Plaza]
-
A.
Daley Plaza
chosen
Daley Plaza is a prominent public square in downtown Chicago known for its modernist architecture and iconic Picasso sculpture.
-
B.
World Square
World Square is a themed area within the Window of the World park in Shenzhen, China, featuring iconic global landmarks and cultural displays in miniature form.
-
C.
World Square
World Square is a large mixed-use retail, dining, and commercial complex in central Sydney, Australia.
-
D.
Broadway Square
Broadway Square is a historic public plaza and gathering space in Baltimore’s Fells Point neighborhood, known for its cobblestone setting, market area, and surrounding 18th- and 19th-century buildings.
-
E.
Grant Park
Grant Park is a large historic public park in downtown Chicago known for its museums, gardens, and major cultural events.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0268608190947a58f559a67717 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a67adf88190bbe15040761d235e |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:17 a.m.