Triple
T10410591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salon du Bourget |
E245377
|
entity |
| Predicate | organizer |
P123
|
FINISHED |
| Object | Groupe ADP |
E11760
|
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: Groupe ADP | Statement: [Salon du Bourget, organizer, Groupe ADP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Groupe ADP Context triple: [Salon du Bourget, organizer, Groupe ADP]
-
A.
Groupe ADP
chosen
Groupe ADP is a major French airport management company that owns and operates the Paris-area airports and provides aviation and related services worldwide.
-
B.
Deloitte
Deloitte is one of the world’s largest professional services firms, providing audit, consulting, tax, and advisory services to clients globally.
-
C.
Amadeus IT Group
Amadeus IT Group is a leading global travel technology company that provides reservation, distribution, and IT solutions for airlines, travel agencies, hotels, and other travel industry players.
-
D.
Ernst & Young
Ernst & Young is a global professional services firm, known as one of the "Big Four" accounting organizations, providing audit, tax, consulting, and advisory services to clients worldwide.
-
E.
Accenture
Accenture is a global professional services company specializing in consulting, technology, and outsourcing solutions for businesses and governments worldwide.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9fb98748190a3a6c161edd8f400 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbfae96c8190ac496e9a1158afe4 |
completed | April 9, 2026, 7:20 p.m. |
Created at: April 6, 2026, 12:09 p.m.