Triple
T34917331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River of Sorrows |
E1007037
|
entity |
| Predicate | hasEnglishToponymMeaning |
P178037
|
FINISHED |
| Object | River of Sorrows |
—
|
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: River of Sorrows | Statement: [River of Sorrows, hasEnglishToponymMeaning, River of Sorrows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnglishToponymMeaning Context triple: [River of Sorrows, hasEnglishToponymMeaning, River of Sorrows]
-
A.
hasLanguageOfToponym
Indicates that a place name (toponym) is expressed in or associated with a particular language.
-
B.
hasEnglishMeaningOfName
chosen
Indicates that one entity specifies the English meaning or interpretation of another entity’s name.
-
C.
hasEnglishNameMeaning
Indicates that an entity is associated with an English-language name along with the meaning or semantic interpretation of that name.
-
D.
toponymLiteralMeaning
Indicates the literal or etymological meaning of a place name (toponym), describing what the name directly translates to or signifies.
-
E.
hasToponymicForm
Indicates that one entity is a toponymic (place-name-based) form or variant derived from another entity.
- 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_69f76dc2b6b0819095a61debbd405269 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4 p.m.