Triple
T23971489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One North LaSalle |
E604244
|
entity |
| Predicate | isDesignatedChicagoLandmark |
P5410
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [One North LaSalle, isDesignatedChicagoLandmark, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDesignatedChicagoLandmark Context triple: [One North LaSalle, isDesignatedChicagoLandmark, true]
-
A.
designatedChicagoLandmark
chosen
Indicates that an entity has been officially recognized and designated as a Chicago landmark.
-
B.
ChicagoLandmarkDesignationYear
Indicates the year in which an entity was officially designated as a Chicago landmark.
-
C.
isDowntownLandmark
Indicates that a location is recognized as a notable or prominent landmark within a city’s downtown area.
-
D.
cityLandmarkDesignation
Indicates that a particular landmark has been officially designated or recognized as a landmark by a specific city.
-
E.
hasMemorialDesignation
Indicates that an entity has been formally assigned a specific memorial status, title, or designation in commemoration of something or someone.
- F. None of above.
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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1dc3f088190a55faf6f01ddf4bf |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:25 p.m.