Triple
T497435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Library of Cuba José Martí |
E10324
|
entity |
| Predicate | hasMainCollectionFocus |
P1843
|
FINISHED |
| Object | Cuban literature |
—
|
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: Cuban literature | Statement: [National Library of Cuba José Martí, hasMainCollectionFocus, Cuban literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainCollectionFocus Context triple: [National Library of Cuba José Martí, hasMainCollectionFocus, Cuban literature]
-
A.
hasCollectionFocus
chosen
Indicates that something is primarily concerned with, centered on, or directed toward a particular collection or set of items.
-
B.
hasPrimaryFocus
Indicates that something is the main subject, concern, or area of attention for an entity or activity.
-
C.
hasMainReferent
Indicates that one entity serves as the primary or central referent for another entity within a given context.
-
D.
mayProvideFocus
Indicates that one entity can potentially direct attention, emphasis, or concentration toward another entity or aspect.
-
E.
hasCollection
Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f116f1b4819082f88d6c747368ae |
completed | Feb. 28, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69a2edfa87cc8190a77c726a5a55b7d9 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.