Triple
T6593426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Gallegos |
E148417
|
entity |
| Predicate | isLogisticalHub |
P2413
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Río Gallegos, isLogisticalHub, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLogisticalHub Context triple: [Río Gallegos, isLogisticalHub, true]
-
A.
servesAsCargoHubFor
Indicates that one entity functions as a central location or facility for handling, consolidating, and distributing cargo associated with another entity.
-
B.
isCommercialHubIn
Indicates that a place functions as a primary center of commercial or business activity within a specified larger area or region.
-
C.
isITHubOf
Indicates that an entity serves as a central location or primary center for IT-related activities, services, or operations for another entity or area.
-
D.
isTransportHubType
Indicates that something serves as or belongs to a particular category of transport hub (such as a station, port, or terminal).
-
E.
hasTransportHub
chosen
Indicates that a location contains or serves as a central facility where multiple transport routes or modes connect for passenger or cargo movement.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acfd17388190bd0bb8b2371e7df1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:55 p.m.