Triple
T26893317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | মাদ্রাজ |
E677835
|
entity |
| Predicate | পরিচিতি |
P149747
|
FINISHED |
| Object | আইটি ও সফটওয়্যার শিল্পকেন্দ্র |
—
|
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: আইটি ও সফটওয়্যার শিল্পকেন্দ্র | Statement: [মাদ্রাজ, পরিচিতি, আইটি ও সফটওয়্যার শিল্পকেন্দ্র]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: পরিচিতি Context triple: [মাদ্রাজ, পরিচিতি, আইটি ও সফটওয়্যার শিল্পকেন্দ্র]
-
A.
الهوية
Indicates that two entities are identical, representing the relation of identity or sameness between them.
-
B.
identifiedIn
chosen
Indicates that an entity is recognized, discovered, or documented within a specified source, context, or location.
-
C.
inscriptionKnownAs
Indicates that an inscription is referred to or identified by a particular name, label, or designation.
-
D.
subjectOfIntroduction
Indicates that one entity is the topic or focus being introduced by another entity.
-
E.
identityRevealedIn
Indicates that an entity’s true identity becomes known or disclosed within a specified context, source, or situation.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61f69e4508190ab20c3f2052282e7 |
completed | May 2, 2026, 3:59 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 5:46 a.m.