Triple
T15472088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaugrenelle towers |
E376685
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Tour Beaugrenelle |
E376681
|
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 Beaugrenelle | Statement: [Beaugrenelle towers, hasPart, Tour Beaugrenelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tour Beaugrenelle Context triple: [Beaugrenelle towers, hasPart, Tour Beaugrenelle]
-
A.
Tour Beaugrenelle
chosen
Tour Beaugrenelle is a high-rise residential and office tower in Paris, France, known for its modernist architecture along the Seine.
-
B.
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.
-
C.
Tour Bonbec
Tour Bonbec is a historic medieval tower of the Conciergerie in Paris, notable for its role in the former royal palace and prison complex on the Île de la Cité.
-
D.
Tour Montparnasse
Tour Montparnasse is a prominent modern skyscraper in Paris known for its height and panoramic observation deck overlooking the city.
-
E.
Tour Saint-Jacques
Tour Saint-Jacques is a flamboyant Gothic tower in central Paris, originally part of a 16th-century church and now a historic monument and landmark.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6c57308190b4cfe661c26addd4 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d0543f881909dfbbc77f2a96a1a |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:33 a.m.