Triple
T10533417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bourse de Paris |
E248500
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Paris Bourse |
E687082
|
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: Paris Bourse | Statement: [Bourse de Paris, associatedWith, Paris Bourse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paris Bourse Context triple: [Bourse de Paris, associatedWith, Paris Bourse]
-
A.
Bourse de Paris
chosen
Bourse de Paris is the historic Parisian stock exchange, long a central hub of French and European financial trading.
-
B.
Bourse de Commerce
The Bourse de Commerce is a historic circular building in central Paris that now serves as a contemporary art museum housing the Pinault Collection.
-
C.
Luxembourg Stock Exchange
The Luxembourg Stock Exchange is a major European securities exchange known for its specialization in listing international bonds and sustainable finance instruments.
-
D.
Frankfurt Stock Exchange
The Frankfurt Stock Exchange is one of the world’s largest and most important securities trading centers, serving as Germany’s primary stock market.
-
E.
Mannheim stock exchange
The Mannheim stock exchange was a regional securities market in Mannheim, Germany, historically significant as an early trading venue for industrial companies such as Benz & Cie.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a19b59c8190b00db7d5813ad37d |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9340da2948190950e7c0ceea12cb1 |
completed | April 10, 2026, 5:31 p.m. |
Created at: April 6, 2026, 12:30 p.m.