Triple
T8231429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Granma landing |
E192301
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Niquero |
E682079
|
NE 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: Niquero | Statement: [Granma landing, location, Niquero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niquero Context triple: [Granma landing, location, Niquero]
-
A.
Niquero
chosen
Niquero is a coastal town and municipality in Granma Province, Cuba, known for its historical role in the Cuban Revolution and proximity to important coastal and natural areas.
-
B.
Porvenir
Porvenir is a small town that serves as the capital of Pando Department in northern Bolivia, near the border with Brazil.
-
C.
Porvenir
Porvenir is a small Chilean town on Tierra del Fuego that serves as an important fishing and service port on the Strait of Magellan.
-
D.
Aculco
Aculco is a Mexico City Metro station located in the eastern part of the city, serving local commuters on Line 8.
-
E.
Carso
Carso is a limestone plateau region in northeastern Italy and southwestern Slovenia, known for its distinctive karst landscapes, caves, and sinkholes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82db5b90819085d1ad7c2e27bfcc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7824a6c48190a3abb76c4c3dcc71 |
completed | March 31, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd67f7dcec81909b74fd2da3609fc3 |
completed | April 1, 2026, 6:46 p.m. |
Created at: March 30, 2026, 5:46 p.m.