Triple
T10683067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris skyline |
E251804
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Tour Montparnasse |
E41187
|
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: Tour Montparnasse | Statement: [Paris skyline, hasLandmark, Tour Montparnasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tour Montparnasse Context triple: [Paris skyline, hasLandmark, Tour Montparnasse]
-
A.
Tour Montparnasse
chosen
Tour Montparnasse is a prominent modern skyscraper in Paris known for its height and panoramic observation deck overlooking the city.
-
B.
Tour Rive Gauche
Tour Rive Gauche is a high-rise residential and office tower located along the Seine in Paris’s 15th arrondissement.
-
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 Part-Dieu (Le Crayon)
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.
-
E.
Tour Perret
Tour Perret is a prominent modernist high-rise tower in Amiens, France, known as one of the country’s earliest skyscrapers and a key feature of the city’s skyline.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc43b9481908f35490db93db76c |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9888cf7b481909de6a4fecb48cf4b |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:10 p.m.