Triple
T19492012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quartier Part-Dieu |
E487674
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Tour Part-Dieu |
—
|
NE NERFINISHED |
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: Tour Part-Dieu | Statement: [Quartier Part-Dieu, hasLandmark, Tour Part-Dieu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tour Part-Dieu Context triple: [Quartier Part-Dieu, hasLandmark, Tour Part-Dieu]
-
A.
Tour Part-Dieu (Le Crayon)
chosen
Tour Part-Dieu, commonly called "Le Crayon" for its pencil-like shape, is a prominent office skyscraper and one of the most recognizable landmarks in Lyon, France.
-
B.
Tour Montparnasse
Tour Montparnasse is a prominent modern skyscraper in Paris known for its height and panoramic observation deck overlooking the city.
-
C.
Tour Beaugrenelle
Tour Beaugrenelle is a high-rise residential and office tower in Paris, France, known for its modernist architecture along the Seine.
-
D.
Tour Rive Droite
Tour Rive Droite is a modern high-rise residential and office tower located in the Beaugrenelle district of Paris, France.
-
E.
Quartier Part-Dieu
Quartier Part-Dieu is Lyon’s main business district, known for its high-rise offices, major shopping center, and one of France’s busiest railway stations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348e01b88190a513d0e256161fcd |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:39 p.m.