Triple
T31359626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El amante liberal |
E799827
|
entity |
| Predicate | firstPublicationYearApproximate |
P60473
|
FINISHED |
| Object | 1613 |
—
|
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: 1613 | Statement: [El amante liberal, firstPublicationYearApproximate, 1613]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublicationYearApproximate Context triple: [El amante liberal, firstPublicationYearApproximate, 1613]
-
A.
textPublicationApproxYear
Indicates that a text was published around a specified year, with the year representing an approximate rather than exact publication date.
-
B.
releaseApproximateYear
Indicates that an entity was released or made available around a specified year, where the year is approximate rather than exact.
-
C.
approximateStartYear
Indicates that the associated year value represents an estimated or imprecise starting year for an event, state, or relationship rather than an exact one.
-
D.
firstCompletePublicationYear
Indicates the calendar year in which an entity’s first complete publication was released.
-
E.
firstPublishedInWorkYear
chosen
Indicates the year in which a work was first 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_69f224e5e9bc8190a16339328897c4f8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 9:18 p.m.