Triple
T700599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diccionario de la lengua española |
E13988
|
entity |
| Predicate | 23rd editionPublicationYear |
P2681
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Diccionario de la lengua española, 23rd editionPublicationYear, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 23rd editionPublicationYear Context triple: [Diccionario de la lengua española, 23rd editionPublicationYear, 2014]
-
A.
editionNumber
chosen
Indicates the specific sequential number assigned to an edition of a work within its series of published versions.
-
B.
edition
Indicates that one entity is a specific version, issue, or release of another (typically a work such as a book, journal, or software).
-
C.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
-
D.
lastEdition
Indicates that one entity is the most recent or final edition/version within a series or sequence of editions.
-
E.
lastLifetimeEditionYear
Indicates the year in which the most recent lifetime edition of an entity (such as a work or product) was issued or became available.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a544e3608190ac315c7aa9f88e7e |
completed | March 1, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69a4a4ec8c748190b198492a0eea4445 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.