Triple
T2983492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roosevelt University |
E80565
|
entity |
| Predicate | WabashBuildingHeight |
P30757
|
FINISHED |
| Object | one of the tallest academic buildings in 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: one of the tallest academic buildings in Chicago | Statement: [Roosevelt University, WabashBuildingHeight, one of the tallest academic buildings in Chicago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WabashBuildingHeight Context triple: [Roosevelt University, WabashBuildingHeight, one of the tallest academic buildings in Chicago]
-
A.
buildingHeightContext
chosen
Indicates the contextual or situational factors under which a building’s height is defined, measured, or interpreted.
-
B.
buildingHeight
Indicates the vertical extent or height measurement of a building.
-
C.
buildingHeightCharacteristic
Indicates the specific height-related property or measurement that characterizes a building.
-
D.
tallestBuildingIn
Indicates that one entity is the tallest building located within the area or region specified by the other entity.
-
E.
SearsTowerLaterRenamed
Indicates that something originally known as the Sears Tower was later given a different official name.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c481fc81909971c96352a881b4 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad9611fc348190a5d17d237f653f60 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.