Triple
T199943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan Pier and Exposition Authority |
E4080
|
entity |
| Predicate | ownsFacilityOn |
P8074
|
FINISHED |
| Object | Lake Michigan lakefront |
—
|
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: Lake Michigan lakefront | Statement: [Metropolitan Pier and Exposition Authority, ownsFacilityOn, Lake Michigan lakefront]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownsFacilityOn Context triple: [Metropolitan Pier and Exposition Authority, ownsFacilityOn, Lake Michigan lakefront]
-
A.
hasFacilityType
Indicates that an entity possesses or is associated with a specific type or category of facility.
-
B.
hasNotableFacility
Indicates that an entity possesses or hosts a facility that is of particular significance, prominence, or interest.
-
C.
ownedBy
Indicates that one entity possesses legal or rightful ownership of another entity.
-
D.
operatesFacility
Indicates that an entity is responsible for running, managing, or controlling the operations of a particular facility.
-
E.
isHomeOf
Indicates that a place serves as the primary residence or base for a person, group, or organization.
- F. None of above. chosen
Provenance (4 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25bcc6dc88190b8c24b485588dfe4 |
completed | Feb. 28, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69a25b4886b48190b46fd2244648a098 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25bc6ba208190aa8bec59d32f95fd |
completed | Feb. 28, 2026, 3:06 a.m. |
Created at: Feb. 28, 2026, 2:44 a.m.