Triple
T31024451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hemingway in Cuba |
E790529
|
entity |
| Predicate | timeInCubaIncludes |
P171609
|
FINISHED |
| Object | World War II era |
—
|
NE NERFINISHED |
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: World War II era | Statement: [Hemingway in Cuba, timeInCubaIncludes, World War II era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInCubaIncludes Context triple: [Hemingway in Cuba, timeInCubaIncludes, World War II era]
-
A.
distanceToHavana
Indicates the measured spatial distance between a given entity’s location and the city of Havana.
-
B.
arrivalInHavanaDate
Indicates the date on which an entity arrives in Havana.
-
C.
distanceToHolguin
Indicates the measured spatial distance between a given entity and the location of Holguin.
-
D.
legalStatusOfCuba
Indicates the legal or diplomatic status that an entity or action has specifically in relation to Cuba.
-
E.
separatedFromCubaBy
Indicates that one entity is divided or kept apart from Cuba by a specified physical or conceptual boundary.
- F. None of above. chosen
Provenance (4 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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a1ac56b88190a820434b65c9fa23 |
completed | May 3, 2026, 1:15 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a0e920cc8190a943fdd0594906c5 |
completed | May 3, 2026, 1:12 a.m. |
Created at: April 29, 2026, 8:58 p.m.