Triple
T24962987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The South |
E624657
|
entity |
| Predicate | firstPublicationLanguageTitle |
P13516
|
FINISHED |
| Object | "El Sur" |
—
|
NE NERFINISHED |
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: "El Sur" | Statement: [The South, firstPublicationLanguageTitle, "El Sur"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublicationLanguageTitle Context triple: [The South, firstPublicationLanguageTitle, "El Sur"]
-
A.
firstKnownPublicationTitle
Indicates the title of the earliest known publication associated with an entity.
-
B.
originalLanguageTitle
chosen
Indicates the title of a work as it appears in its original language of creation or publication.
-
C.
firstEuropeanPublicationLanguage
Indicates the language in which an entity was first published in Europe.
-
D.
firstEditionLanguage
Indicates the language in which a work was originally published in its first edition.
-
E.
primarySourceTitleInEnglish
Indicates that the predicate specifies the title of a primary source expressed in the English language.
- 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 18, 2026, 5:59 a.m.