Triple
T14350743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel-Ange – Molitor |
E355843
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Stade Roland Garros |
E297110
|
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: Stade Roland Garros | Statement: [Michel-Ange – Molitor, locatedNear, Stade Roland Garros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stade Roland Garros Context triple: [Michel-Ange – Molitor, locatedNear, Stade Roland Garros]
-
A.
Stade Roland Garros
chosen
Stade Roland Garros is a famous Parisian tennis complex best known as the venue for the French Open, one of the four Grand Slam tournaments.
-
B.
Roland Garros
Roland Garros was a pioneering French aviator and World War I fighter pilot, best known for his early long-distance flights and for helping develop forward-firing machine guns on aircraft.
-
C.
Parc des Princes
Parc des Princes is a major football stadium in Paris, best known as the historic home ground of Paris Saint-Germain (PSG).
-
D.
Stade de Paris
Stade de Paris is a historic football stadium in Saint-Ouen, France, best known as the longtime home ground of Red Star FC.
-
E.
Stade de France
Stade de France is France’s national stadium in Saint-Denis, renowned for hosting major international sporting events and concerts, including Olympic and World Cup competitions.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f4e1e588190bdc7aaf7a2819948 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd550aef908190a7ec49e409f92dc7 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:14 a.m.