Triple
T6041046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War in the Garden of Eden |
E134543
|
entity |
| Predicate | hasWorldCatId |
P1214
|
FINISHED |
| Object | oclc:2477635 |
—
|
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: oclc:2477635 | Statement: [War in the Garden of Eden, hasWorldCatId, oclc:2477635]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorldCatId Context triple: [War in the Garden of Eden, hasWorldCatId, oclc:2477635]
-
A.
hasLccn
Indicates that an entity is associated with a specific Library of Congress Control Number (LCCN) as its unique identifier in the Library of Congress catalog.
-
B.
hasBibliographicCategory
Indicates that an entity is associated with a specific bibliographic classification or category within a cataloging or documentation system.
-
C.
OCLC
chosen
Indicates that an entity is associated with an OCLC (Online Computer Library Center) control number or record identifier in a bibliographic or library cataloging context.
-
D.
hasGoodreadsId
Indicates that an entity is associated with a specific identifier used by Goodreads to uniquely reference it in their system.
-
E.
hasGoodreadsWorkId
Indicates that an entity is associated with a specific Goodreads work identifier linking it to a work entry in the Goodreads database.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056cf82d481909d5161fe3643e7ed |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:08 p.m.