Triple
T11263324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gardena |
E266618
|
entity |
| Predicate | hasNotableCardClub |
P92848
|
FINISHED |
| Object | Normandie Casino |
E843965
|
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: Normandie Casino | Statement: [Gardena, hasNotableCardClub, Normandie Casino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Normandie Casino Context triple: [Gardena, hasNotableCardClub, Normandie Casino]
-
A.
Normandie Casino
chosen
Normandie Casino is a long-standing card club and gambling venue located in Gardena, California.
-
B.
Montbenon Casino
Montbenon Casino is a historic cultural and event venue in Lausanne, Switzerland, known for hosting performances, festivals, and public gatherings.
-
C.
Casino de Paris
Casino de Paris is a historic and iconic Parisian music hall and cabaret venue renowned for its variety shows and star performances.
-
D.
Casino de la Forêt
Casino de la Forêt is a historic gambling and entertainment venue located in the seaside resort town of Le Touquet-Paris-Plage in northern France.
-
E.
Monte Carlo Casino
Monte Carlo Casino is a historic and opulent gambling and entertainment complex in Monaco, renowned for its grand architecture and association with luxury and high-stakes gaming.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94d56048190bf808e1bc2188714 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ccba233481909f00ebe2237c4f0c |
completed | April 19, 2026, 12:38 p.m. |
Created at: April 8, 2026, 9:31 p.m.