Triple
T29192620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bastian Balthazar Bux |
E740033
|
entity |
| Predicate | bookFoundIn |
P5478
|
FINISHED |
| Object | antiquarian bookshop |
—
|
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: antiquarian bookshop | Statement: [Bastian Balthazar Bux, bookFoundIn, antiquarian bookshop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookFoundIn Context triple: [Bastian Balthazar Bux, bookFoundIn, antiquarian bookshop]
-
A.
libraryCatalog
Indicates a relationship where a library’s catalog system organizes, indexes, and provides access information for the items held in the library’s collection.
-
B.
containsBook
chosen
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
-
C.
bookSelection
Indicates the act or result of choosing a particular book from a set of available options.
-
D.
bookMention
Indicates that one entity (such as a text, person, or source) makes reference to or cites a particular book.
-
E.
libraryLocation
Indicates the physical or organizational place where a library or its resources are situated.
- 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_69f07cb8033c8190b8807e219a14333d |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6638cf96081909686087393f5d8d1 |
completed | May 2, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 12:02 p.m.