Triple
T15791433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manual of Political Economy |
E382869
|
entity |
| Predicate | EnglishTranslationLanguage |
P21151
|
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: [Manual of Political Economy, EnglishTranslationLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EnglishTranslationLanguage Context triple: [Manual of Political Economy, EnglishTranslationLanguage, English]
-
A.
EnglishTranslation
Indicates that one expression is the English-language translation equivalent of another expression.
-
B.
textTranslation
Indicates a relationship where one text is rendered into another language or form while preserving its original meaning.
-
C.
EnglishObjective
Indicates that an entity has English language proficiency or achievement as a goal or target to be attained.
-
D.
languageEquivalent
Indicates that two linguistic expressions convey the same meaning or function across different languages or language varieties.
-
E.
translationTargetLanguage
chosen
Indicates the language into which content is being or has been translated.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d819c881908bc43a6124a1bb2e |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:48 a.m.