Triple
T6848577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESSEC Business School |
E157956
|
entity |
| Predicate | hasProgram |
P178
|
FINISHED |
| Object | Global BBA |
E354520
|
NE 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: Global BBA | Statement: [ESSEC Business School, hasProgram, Global BBA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Global BBA Context triple: [ESSEC Business School, hasProgram, Global BBA]
-
A.
BBA
BBA is an Indian child-rights organization founded by Nobel laureate Kailash Satyarthi, known for its campaigns against child labor and trafficking.
-
B.
BBA
chosen
BBA is an undergraduate Bachelor of Business Administration degree program focused on foundational and applied business education.
-
C.
Global
Global is a major UK-based media and entertainment company best known for owning and operating prominent radio brands and digital audio platforms.
-
D.
Worldwide
Worldwide is a global hospitality and lifestyle brand associated with the W New York hotel.
-
E.
We Global
We Global is a studio album by American DJ and producer DJ Khaled, known for its star-studded guest features and Southern hip hop anthems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7ce3e7481908e0472b8faafa473 |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fcdf3888190b95b2ce10964793b |
completed | March 28, 2026, 1:33 a.m. |
Created at: March 27, 2026, 2:20 p.m.