Triple
T31537176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirtonkhola River |
E804637
|
entity |
| Predicate | hasLocalSpelling |
P457
|
FINISHED |
| Object | কীর্তনখোলা নদী |
—
|
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: কীর্তনখোলা নদী | Statement: [Kirtonkhola River, hasLocalSpelling, কীর্তনখোলা নদী]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalSpelling Context triple: [Kirtonkhola River, hasLocalSpelling, কীর্তনখোলা নদী]
-
A.
hasVariantSpelling
chosen
Indicates that one term is an alternative spelling form of another term.
-
B.
hasTypicalSpelling
Indicates that one form is the standard or commonly accepted spelling of another form.
-
C.
hasSpellingWithAccent
Indicates that one form of a word or name is spelled using accented characters compared to another form.
-
D.
spellingVariantPattern
Indicates a relationship where one form of a word is a systematic spelling variant of another, following a recognizable pattern of orthographic change.
-
E.
spellingStyle
Indicates the particular orthographic convention or system of spelling that is used or preferred in a given context.
- 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_69f348d03ef88190a2b73d7b94b9e02d |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: April 30, 2026, 10:04 p.m.