Triple
T25656817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangabda era |
E643257
|
entity |
| Predicate | eraNameLanguage |
P160267
|
FINISHED |
| Object | Bengali language |
—
|
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: Bengali language | Statement: [Bangabda era, eraNameLanguage, Bengali language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraNameLanguage Context triple: [Bangabda era, eraNameLanguage, Bengali language]
-
A.
eraName
Indicates the named historical or chronological era associated with an entity or time period.
-
B.
eraNameType
Indicates the type or classification of a named historical or chronological era associated with an entity.
-
C.
eraNameUsedInDocuments
Indicates that a particular era name is used as a temporal reference in the specified documents.
-
D.
eraNameInMarathi
Indicates the name of a historical or chronological era as expressed in the Marathi language.
-
E.
eponymLanguage
Indicates that a language is named after (is the eponym of) a particular person, place, or entity.
- F. None of above. chosen
Provenance (4 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_69f601f106a08190ad7b4537223dbd8c |
completed | May 2, 2026, 1:53 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 21, 2026, 6:34 p.m.