Triple
T11663646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Os Cus de Judas |
E277187
|
entity |
| Predicate | titleFigurativeMeaning |
P72897
|
FINISHED |
| Object | remote and forsaken place |
—
|
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: remote and forsaken place | Statement: [Os Cus de Judas, titleFigurativeMeaning, remote and forsaken place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleFigurativeMeaning Context triple: [Os Cus de Judas, titleFigurativeMeaning, remote and forsaken place]
-
A.
figurativeMeaning
Indicates that one entity is used in a non-literal, metaphorical, or symbolic sense to convey a meaning about another entity or concept.
-
B.
titleMetaphor
chosen
Indicates that the title of a work functions metaphorically, expressing a figurative or symbolic meaning rather than a literal one.
-
C.
logicalMeaning
Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of another.
-
D.
literalMeaningApproximation
Indicates that one entity expresses an approximate or rough literal meaning of another entity, rather than an exact or fully precise interpretation.
-
E.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d3a64c819099f398ea22c8c180 |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d88a73f9ac819095662042804bf40a |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:39 p.m.