Triple
T34409061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamie |
E883201
|
entity |
| Predicate | languageSpokenInProposal |
P77083
|
FINISHED |
| Object | Portuguese |
—
|
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: Portuguese | Statement: [Jamie, languageSpokenInProposal, Portuguese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageSpokenInProposal Context triple: [Jamie, languageSpokenInProposal, Portuguese]
-
A.
languagesSpoken
Indicates that an entity is able to communicate using one or more specified languages.
-
B.
proposedOfficialLanguage
Indicates that an entity has been put forward or suggested to serve as the official language of a country, region, or organization.
-
C.
hasProposedLanguage
chosen
Indicates that an entity has put forward or suggested a particular language, typically as a candidate for use, adoption, or standardization.
-
D.
languageAdvocated
Indicates that an entity actively supports, promotes, or argues in favor of the use or adoption of a particular language.
-
E.
languageOfExpression
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a006ef900148190ba52daf566882a03 |
completed | May 10, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_6a006c76ae748190bfe466d7d17d321e |
completed | May 10, 2026, 11:31 a.m. |
Created at: May 1, 2026, 1:59 a.m.