Triple
T33925432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | হরান |
E869736
|
entity |
| Predicate | উপস্থিত_কর্ম |
P76016
|
FINISHED |
| Object | গোরা |
—
|
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: গোরা | Statement: [হরান, উপস্থিত_কর্ম, গোরা]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: উপস্থিত_কর্ম Context triple: [হরান, উপস্থিত_কর্ম, গোরা]
-
A.
presentOn
Indicates that one entity is physically located on the surface or within the bounds of another entity.
-
B.
performedInWorkBy
chosen
Indicates that an action or role was carried out within a specific work (e.g., a film, book, or composition) by a particular agent or contributor.
-
C.
performedUnder
Indicates that an action or task was carried out subject to, or within the scope of, a particular condition, authority, context, or framework.
-
D.
resents
Indicates that one entity feels bitterness, anger, or lingering ill will toward another, typically due to a perceived wrong or unfair treatment.
-
E.
inWorkAct
Indicates that an entity participates in or is involved in a specific work-related action or activity.
- 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:49 a.m.