Triple
T184839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nationaal Archief, The Hague |
E3957
|
entity |
| Predicate | hasReadingRoom |
P6669
|
FINISHED |
| Object | public reading room |
—
|
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: public reading room | Statement: [Nationaal Archief, The Hague, hasReadingRoom, public reading room]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReadingRoom Context triple: [Nationaal Archief, The Hague, hasReadingRoom, public reading room]
-
A.
hasDigitalLibrary
Indicates that an entity maintains or provides access to a collection of digital resources or publications.
-
B.
hasReception
Indicates that an entity hosts, includes, or is associated with a reception event (such as a formal gathering or welcoming function).
-
C.
hasDigitalCollections
Indicates that an entity possesses or provides access to one or more collections of materials in digital form.
-
D.
hasWaitingArea
Indicates that an entity provides or includes a designated space where people can wait before receiving a service or proceeding to another area.
-
E.
librarySystem
Indicates a relationship where an organized framework or infrastructure manages, catalogs, and provides access to library resources and services.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2592867108190b5d316c055575449 |
completed | Feb. 28, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69a2566fb08c81908faff2fde552105d |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a257e763d081908c54ad57d8d3060d |
completed | Feb. 28, 2026, 2:50 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.