Triple
T24751207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National District |
E619148
|
entity |
| Predicate | hasNationalLibrary |
P158666
|
FINISHED |
| Object | Biblioteca Nacional Pedro Henríquez Ureña |
—
|
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: Biblioteca Nacional Pedro Henríquez Ureña | Statement: [National District, hasNationalLibrary, Biblioteca Nacional Pedro Henríquez Ureña]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalLibrary Context triple: [National District, hasNationalLibrary, Biblioteca Nacional Pedro Henríquez Ureña]
-
A.
designatedAsNationalLibrary
Indicates that an institution has been officially recognized or assigned the status of a national library by a governing authority.
-
B.
hasLiteraryArchiveAt
Indicates that an entity’s literary works, papers, or related archival materials are stored or maintained at a specified archive or institution.
-
C.
isLargestLibraryOf
Indicates that one library is the largest (by a specified measure, such as collection size or area) among a defined group or within a particular context.
-
D.
hasDigitalLibrary
Indicates that an entity maintains or provides access to a collection of digital resources or publications.
-
E.
hasLibraryDistrict
Indicates that an entity is associated with or falls within the jurisdiction of a particular library district.
- 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_69e2fabb349881908a13a212a0221a63 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f47b7f657c81908174590c811a3cbf |
completed | May 1, 2026, 10:07 a.m. |
Created at: April 18, 2026, 4:24 a.m.