Triple
T282694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. naval base at Guantánamo Bay |
E5822
|
entity |
| Predicate | hasPortFacilities |
P3007
|
FINISHED |
| Object | deep-water harbor |
—
|
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: deep-water harbor | Statement: [U.S. naval base at Guantánamo Bay, hasPortFacilities, deep-water harbor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPortFacilities Context triple: [U.S. naval base at Guantánamo Bay, hasPortFacilities, deep-water harbor]
-
A.
hasPortCity
Indicates that a place or region possesses or is associated with a city that functions as its port.
-
B.
hasHarbor
chosen
Indicates that a place possesses or contains a harbor for docking or sheltering vessels.
-
C.
hasFerryService
Indicates that there is an operational ferry connection or transport service available between the related locations or entities.
-
D.
hasCargoTerminal
Indicates that a location or facility includes or is equipped with a cargo terminal for handling freight.
-
E.
hasUSCustomsFacilities
Indicates that a location or facility is equipped with official United States Customs services for processing people or goods entering from abroad.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e0c14b48190a5c936bab36180b3 |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b795a6c8190944d48e8418e0ccd |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.