Triple
T942453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hague Academy of International Law |
E20335
|
entity |
| Predicate | hasLibraryAccess |
P1017
|
FINISHED |
| Object | Peace Palace Library collections |
—
|
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: Peace Palace Library collections | Statement: [Hague Academy of International Law, hasLibraryAccess, Peace Palace Library collections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLibraryAccess Context triple: [Hague Academy of International Law, hasLibraryAccess, Peace Palace Library collections]
-
A.
hasAccessTo
chosen
Indicates that one entity is permitted to enter, use, or interact with another entity, resource, or location.
-
B.
hasDigitalLibrary
Indicates that an entity maintains or provides access to a collection of digital resources or publications.
-
C.
hasDigitalAccess
Indicates that an entity has the ability or permission to use or access digital resources, services, or information.
-
D.
hasReadingRoom
Indicates that a place or facility includes a designated reading room area available for use.
-
E.
hasAccessMode
Indicates the type or method of access that one entity is permitted to use with respect to another entity or resource.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a1a4888190997adf56eb761431 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29dc8dc8190b9d33f70f8563d61 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.