Triple
T16395416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wentzville Assembly |
E398166
|
entity |
| Predicate | hasLogisticsFacilities |
P78734
|
FINISHED |
| Object | shipping and receiving docks |
—
|
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: shipping and receiving docks | Statement: [Wentzville Assembly, hasLogisticsFacilities, shipping and receiving docks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLogisticsFacilities Context triple: [Wentzville Assembly, hasLogisticsFacilities, shipping and receiving docks]
-
A.
hasFreightFacility
chosen
Indicates that an entity is equipped with or connected to a facility used for handling, loading, unloading, or storing freight.
-
B.
hasFacilities
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
C.
hasFacilityLocation
Indicates that an entity possesses or is associated with a facility situated at a specific location.
-
D.
logisticsFeature
Indicates that something possesses a characteristic, capability, or function specifically related to logistics operations or processes.
-
E.
hasGoodsFacilities
Indicates that a location or entity is equipped with facilities for handling, storing, or processing goods or cargo.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e326462298819087091dc935f0f916 |
completed | April 18, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.