Triple
T10401269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Açu |
E245150
|
entity |
| Predicate | hasLogisticsService |
P28699
|
FINISHED |
| Object | storage |
—
|
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: storage | Statement: [Port of Açu, hasLogisticsService, storage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLogisticsService Context triple: [Port of Açu, hasLogisticsService, storage]
-
A.
hasCargoServices
Indicates that an entity provides or is equipped to handle cargo transportation or freight services for another entity or location.
-
B.
logisticsFeature
chosen
Indicates that something possesses a characteristic, capability, or function specifically related to logistics operations or processes.
-
C.
hasFreightFacility
Indicates that an entity is equipped with or connected to a facility used for handling, loading, unloading, or storing freight.
-
D.
hasShippingLaneType
Indicates the specific category or type of shipping lane associated with a given route or area.
-
E.
isFullServiceCarrier
Indicates that an airline operates as a full-service carrier, providing a wide range of services (such as checked baggage, in-flight meals, and multiple cabin classes) typically included in the ticket price.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e2f11c8190b30695cba2975544 |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:07 p.m.