Triple
T20662369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Just After Sunset |
E507787
|
entity |
| Predicate | hasLibraryThingId |
P140964
|
FINISHED |
| Object | 4719720 |
—
|
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: 4719720 | Statement: [Just After Sunset, hasLibraryThingId, 4719720]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLibraryThingId Context triple: [Just After Sunset, hasLibraryThingId, 4719720]
-
A.
hasGoodreadsId
Indicates that an entity is associated with a specific identifier used by Goodreads to uniquely reference it in their system.
-
B.
hasGoodreadsWorkId
Indicates that an entity is associated with a specific Goodreads work identifier linking it to a work entry in the Goodreads database.
-
C.
hasGermanNationalLibraryId
Indicates that an entity is associated with a specific identifier assigned by the German National Library.
-
D.
hasISBNInCollection
Indicates that a particular ISBN is present within a specified collection of items or works.
-
E.
libraryOfCongressAuthorityID
Indicates that an entity is associated with a specific Library of Congress authority control identifier that uniquely standardizes its name or heading.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f2ee4081908df9ba897c9dfc98 |
completed | April 20, 2026, 11:12 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 11:44 a.m.