Triple
T26335537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Metropolis and Mental Life |
E662507
|
entity |
| Predicate | languageOfMostCitedTranslation |
P20087
|
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: [The Metropolis and Mental Life, languageOfMostCitedTranslation, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfMostCitedTranslation Context triple: [The Metropolis and Mental Life, languageOfMostCitedTranslation, English]
-
A.
widelyTranslated
Indicates that a work has been translated into many different languages or versions, reflecting broad international dissemination.
-
B.
citationLanguage
chosen
Indicates the language in which a cited work or reference is written or presented.
-
C.
languageOfOfficialCitation
Indicates the language in which an official citation or formal reference is expressed.
-
D.
isLanguageOf
Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
-
E.
laterLanguageOfDissemination
Indicates that one language was used to disseminate or publish a work at a later time than another language associated with the same work.
- 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_69ee812f32748190871d970c4e2a8ddf |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: April 26, 2026, 10:36 p.m.