Triple
T16077270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan State Capitol Commission |
E390008
|
entity |
| Predicate | usesBuildingFor |
P1267
|
FINISHED |
| Object | governmental functions |
—
|
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: governmental functions | Statement: [Michigan State Capitol Commission, usesBuildingFor, governmental functions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBuildingFor Context triple: [Michigan State Capitol Commission, usesBuildingFor, governmental functions]
-
A.
usesBuilding
chosen
Indicates that one entity makes use of, occupies, or operates within a particular building.
-
B.
usedOnBuildingOf
Indicates that something is applied to, installed on, or otherwise utilized on the structure of a particular building.
-
C.
hasBuildingFrom
Indicates a relationship where a location or site possesses or includes a building that originates from, or was constructed in, a specified time period, source, or context.
-
D.
containsBuilding
Indicates that one location or area includes a building within its boundaries.
-
E.
isBuildingOf
Indicates that one entity is a building that belongs to, houses, or is associated with another entity (such as an organization, institution, or complex).
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.