Triple
T19780924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Land |
E475128
|
entity |
| Predicate | languageOfLiteralMeaning |
P8506
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Southern Land, languageOfLiteralMeaning, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfLiteralMeaning Context triple: [Southern Land, languageOfLiteralMeaning, English]
-
A.
languageOfWord
Indicates that a particular language is the one in which a given word is expressed or defined.
-
B.
languageNameMeaning
Indicates that the predicate relates a language’s name to its meaning or etymological significance.
-
C.
titleLanguageMeaning
Indicates that a title is expressed in a particular language and conveys a specific meaning in that language.
-
D.
sourceLanguageMeaning
chosen
Indicates that one entity expresses the meaning or sense of another entity in a particular source language.
-
E.
linguisticSignificance
Indicates the degree to which something is important, influential, or meaningful within a particular language or linguistic system.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653846a248190adc4afe0dc29a402 |
completed | April 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:49 p.m.