Triple
T25656692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Golden Bengal |
E643254
|
entity |
| Predicate | translatedTitleOf |
P58041
|
FINISHED |
| Object | Bangladesh national anthem |
—
|
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: Bangladesh national anthem | Statement: [My Golden Bengal, translatedTitleOf, Bangladesh national anthem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translatedTitleOf Context triple: [My Golden Bengal, translatedTitleOf, Bangladesh national anthem]
-
A.
translationTitle
chosen
Indicates that one entity is the title assigned to a translated version of another entity (such as a work, document, or text).
-
B.
titleInLanguage
Indicates that a specific title or name is expressed in a particular language.
-
C.
titleInLocalLanguage
Indicates that an entity’s title is expressed in the primary or native language of a specified place or community.
-
D.
titleInEnglish
Indicates that an entity’s title or name is given in the English language.
-
E.
officialTitleInLanguage
Indicates that an entity’s official title or designation is expressed in a specified language.
- 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_69e77e7d8a848190a98d0162325fd780 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 21, 2026, 6:34 p.m.