Triple
T27890687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DAR Library |
E705345
|
entity |
| Predicate | readingRoomAvailable |
P6669
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [DAR Library, readingRoomAvailable, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readingRoomAvailable Context triple: [DAR Library, readingRoomAvailable, yes]
-
A.
hasReadingRoom
chosen
Indicates that a place or facility includes a designated reading room area available for use.
-
B.
hasReadingRoomCapacity
Indicates the maximum number of people that can be accommodated in a reading room at one time.
-
C.
hasReadingRoomType
Indicates that an entity (such as a facility or building) has a specific type or category of reading room.
-
D.
libraryAccess
Indicates that one entity is permitted to enter, use, or otherwise utilize the resources or services of a library controlled or provided by another entity.
-
E.
readPubliclyIn
Indicates that an entity performs a reading of something (e.g., a text or work) in a public setting or context.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 6:35 p.m.