Triple
T28656954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P75 |
E725358
|
entity |
| Predicate | formerCollection |
P26527
|
FINISHED |
| Object |
Bodmer Library
The Bodmer Library is a renowned Swiss institution in Cologny, Geneva, famous for its exceptional collection of rare manuscripts, early printed books, and literary archives.
|
E1829208
|
NE FINISHED |
How this triple was built (3 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: Bodmer Library | Statement: [P75, formerCollection, Bodmer Library]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bodmer Library Triple: [P75, formerCollection, Bodmer Library]
Generated description
The Bodmer Library is a renowned Swiss institution in Cologny, Geneva, famous for its exceptional collection of rare manuscripts, early printed books, and literary archives.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerCollection Context triple: [P75, formerCollection, Bodmer Library]
-
A.
formerCollectionOf
chosen
Indicates that an entity once served as a collection or repository for another entity, but no longer holds that role.
-
B.
formerCollective
Indicates a relationship where an entity was once part of a collective group or organization but is no longer a member.
-
C.
formerNameOfCollectionAt
Indicates that one collection previously had a different name at a specified point in time or during a particular period.
-
D.
previousCollection
Indicates that one collection directly precedes another in an ordered sequence or series.
-
E.
coreCollectionOf
Indicates that one entity serves as the primary or central collection that another entity belongs to or is grouped within.
- F. None of above.
Provenance (6 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1cc38e4ca48190b09258482c1bdfd0 |
completed | May 31, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_6a1cc42a1b08819092125b1f3d09f2ca |
completed | May 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1cc4e253288190bb4e761d17423cbf |
completed | May 31, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
Created at: April 28, 2026, 4:55 a.m.