Triple
T20113723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIIT |
E490397
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | NIIT Imperia |
—
|
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: NIIT Imperia | Statement: [NIIT, hasBrand, NIIT Imperia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NIIT Imperia Context triple: [NIIT, hasBrand, NIIT Imperia]
-
A.
NIIT
chosen
NIIT is an Indian multinational skills and talent development company best known for its IT and education training services.
-
B.
Great Learning
Great Learning is a foundational Confucian classic that outlines principles of moral self-cultivation and good governance.
-
C.
ITM School
ITM School is a division of KTH Royal Institute of Technology focused on education and research in industrial engineering, management, and related fields.
-
D.
NASSCOM
NASSCOM is an Indian trade association and industry body representing the country’s information technology (IT) and business process management (BPM) sectors.
-
E.
NSDC
NSDC is Ukraine’s top national security and defense policymaking body that coordinates and oversees the country’s security, military, and strategic interests.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666e31af081908d8e0c867c388a73 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:29 p.m.