Triple
T25230110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assistant Returning Officers in Bangladesh |
E632197
|
entity |
| Predicate | mayBeSelectedFrom |
P16786
|
FINISHED |
| Object | local administration officials |
—
|
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: local administration officials | Statement: [Assistant Returning Officers in Bangladesh, mayBeSelectedFrom, local administration officials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeSelectedFrom Context triple: [Assistant Returning Officers in Bangladesh, mayBeSelectedFrom, local administration officials]
-
A.
hasSelectionFor
Indicates that one entity holds or specifies a chosen option, subset, or configuration on behalf of another entity.
-
B.
selectionFrom
chosen
Indicates that one entity is chosen as a member or subset from a larger set or collection represented by another entity.
-
C.
mayBeFilledBy
Indicates that one entity has the potential or permission to be occupied, completed, or satisfied by another entity.
-
D.
selectedWith
Indicates that one entity is chosen or picked in conjunction with, or as part of a set including, another entity.
-
E.
selectedAt
Indicates that an entity was chosen or picked at a specific point in time or under particular selection conditions.
- 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47cc7199c8190bf32bd5aa0090e07 |
completed | May 1, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 1:04 p.m.