Triple
T216092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Restaurant at the End of the Universe |
E4107
|
entity |
| Predicate | hasOCLC |
P1214
|
FINISHED |
| Object | 6554924 |
—
|
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: 6554924 | Statement: [The Restaurant at the End of the Universe, hasOCLC, 6554924]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOCLC Context triple: [The Restaurant at the End of the Universe, hasOCLC, 6554924]
-
A.
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.
-
B.
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.
-
C.
hasDeweyDecimalClassification
Indicates that an item (such as a book or resource) is assigned a specific Dewey Decimal Classification number representing its subject area in a library system.
-
D.
lccn
Indicates that an entity is associated with a specific Library of Congress Control Number (LCCN), uniquely identifying its bibliographic record in the Library of Congress catalog.
-
E.
hasFindingAid
Indicates that there exists a documented guide or tool that helps users locate, understand, and access the materials within a collection 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25dcd2b208190855d5d8d70a3acfc |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b52190481908f299d26122bafd2 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.