Triple
T1197513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Around the World in Five Chapters |
E25701
|
entity |
| Predicate | containedInWorkType |
P19231
|
FINISHED |
| Object | popular science book |
—
|
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: popular science book | Statement: [Around the World in Five Chapters, containedInWorkType, popular science book]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containedInWorkType Context triple: [Around the World in Five Chapters, containedInWorkType, popular science book]
-
A.
partOfWorkType
chosen
Indicates that something is a component, subtype, or specific category within a broader type of work.
-
B.
usedInWork
Indicates that something (such as a concept, method, material, or component) is employed or applied within a particular work, project, or creation.
-
C.
workIncludes
Indicates that a work (such as a project, document, or creative piece) contains or incorporates another specified component, part, or element.
-
D.
hasWorkInCollection
Indicates that a work or item is included as part of a particular collection.
-
E.
housedWorkBy
Indicates that one entity serves as the location or repository where a work created by another entity is kept or displayed.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9a305c819091513394f1b67784 |
completed | March 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5d40a08190b7682d8ef8075421 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.