Triple
T11742457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan Consolidated Gas Company Building |
E279187
|
entity |
| Predicate | primaryStructureType |
P64156
|
FINISHED |
| Object | office tower |
—
|
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: office tower | Statement: [Michigan Consolidated Gas Company Building, primaryStructureType, office tower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryStructureType Context triple: [Michigan Consolidated Gas Company Building, primaryStructureType, office tower]
-
A.
primaryStructure
Indicates that one entity serves as the main or principal structural component or framework in relation to another entity.
-
B.
originalStructureType
Indicates the type or category of the structure that an entity originally had before any changes or transformations.
-
C.
primaryType
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
-
D.
designedStructureType
chosen
Indicates the type or category of structure that something has been specifically designed to be.
-
E.
superstructureType
Indicates the specific kind or design category of a structure’s superstructure that an entity possesses or is associated with.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4f191388190bd6ef7e80c41ca48 |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a813cc48190a3dfdc60e8af80ae |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.