Triple
T32990760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hotel Arthur Leland |
E844077
|
entity |
| Predicate | wasTallestBuildingInRegion |
P2471
|
FINISHED |
| Object | Illinois outside Chicago |
—
|
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: Illinois outside Chicago | Statement: [Hotel Arthur Leland, wasTallestBuildingInRegion, Illinois outside Chicago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasTallestBuildingInRegion Context triple: [Hotel Arthur Leland, wasTallestBuildingInRegion, Illinois outside Chicago]
-
A.
wasTallestStructureIn
Indicates that one structure held the status of being the tallest within a specified place or during a specified time period.
-
B.
tallestBuildingIn
chosen
Indicates that one entity is the tallest building located within the area or region specified by the other entity.
-
C.
wasTallestBuildingOfType
Indicates that a building held the status of being the tallest among all buildings of a specified type (e.g., category, function, or classification) during a given context or time period.
-
D.
isTallestStructureIn
Indicates that the subject is the tallest structure located within the specified place or area.
-
E.
wasAmongTallestBuildingsIn
Indicates that a building ranked within the tallest group of buildings in a specified place or during a specified time period.
- 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_69f3494d99988190b502c68926af2c4d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d213a4148190862c180ce546494a |
completed | May 3, 2026, 4:41 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:22 a.m.