Triple
T16543742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semi de Paris |
E401886
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | Semi de Paris |
E401886
|
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: Semi de Paris | Statement: [Semi de Paris, abbreviation, Semi de Paris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semi de Paris Context triple: [Semi de Paris, abbreviation, Semi de Paris]
-
A.
Semi de Paris
chosen
Semi de Paris is the popular annual half marathon race held in Paris, France, attracting tens of thousands of runners from around the world.
-
B.
Rambuteau
Rambuteau is a Paris Métro station located in the 3rd arrondissement near the Centre Pompidou and the historic Marais district.
-
C.
Coupe de Ville
Coupe de Ville is a 1990 American coming-of-age comedy-drama film about three estranged brothers who reconnect during a cross-country road trip in the 1960s.
-
D.
Sixt-Fer-à-Cheval
Sixt-Fer-à-Cheval is a picturesque alpine commune in the Haute-Savoie department of southeastern France, known for its dramatic cirque landscapes and mountain scenery.
-
E.
duc de Tallard
The duc de Tallard was a French noble title most notably held by Camille d’Hostun de la Baume, a prominent general and marshal of France during the late 17th and early 18th centuries.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455fab34819086c77ff45b85f5db |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ed9fa988190892ca20939080f5f |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:15 a.m.