Triple
T9781710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emerson’s collected essays |
E237389
|
entity |
| Predicate | hasCenturyOfPublication |
P1998
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Emerson’s collected essays, hasCenturyOfPublication, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCenturyOfPublication Context triple: [Emerson’s collected essays, hasCenturyOfPublication, 19th century]
-
A.
compiledInCentury
Indicates that something (such as a work, text, or document) was compiled during a specified century.
-
B.
publicationCentury
chosen
Indicates the century during which a work was published.
-
C.
endedInCentury
Indicates that an event, period, or process concluded during a specified century.
-
D.
acquiredInCentury
Indicates that one entity was acquired during a specific century represented by the other entity.
-
E.
hasFirstEditionYear
Indicates the year in which the first edition of an item (such as a work, book, or publication) was originally released or published.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda1b23cb88190b458ab18d5f7f493 |
completed | April 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:27 p.m.