Triple
T15472098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaugrenelle towers |
E376685
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Tour Paris
Tour Paris is a residential high-rise tower that forms part of the Beaugrenelle skyscraper complex in Paris, France.
|
E376681
|
NE FINISHED |
How this triple was built (4 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 Paris | Statement: [Beaugrenelle towers, hasPart, Tour Paris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tour Paris Context triple: [Beaugrenelle towers, hasPart, Tour Paris]
-
A.
CityPass
CityPass is a private consortium responsible for operating and maintaining the Jerusalem Light Rail system in Israel.
-
B.
AS Tours Ville
AS Tours Ville is the former name of the French football club now known as Tours FC.
-
C.
Tour Montparnasse
Tour Montparnasse is a prominent modern skyscraper in Paris known for its height and panoramic observation deck overlooking the city.
-
D.
Tour Beaugrenelle
Tour Beaugrenelle is a high-rise residential and office tower in Paris, France, known for its modernist architecture along the Seine.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tour Paris Triple: [Beaugrenelle towers, hasPart, Tour Paris]
Generated description
Tour Paris is a residential high-rise tower that forms part of the Beaugrenelle skyscraper complex in Paris, France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tour Paris Target entity description: Tour Paris is a residential high-rise tower that forms part of the Beaugrenelle skyscraper complex in Paris, France.
-
A.
CityPass
CityPass is a private consortium responsible for operating and maintaining the Jerusalem Light Rail system in Israel.
-
B.
AS Tours Ville
AS Tours Ville is the former name of the French football club now known as Tours FC.
-
C.
Tour Montparnasse
Tour Montparnasse is a prominent modern skyscraper in Paris known for its height and panoramic observation deck overlooking the city.
-
D.
Tour Beaugrenelle
chosen
Tour Beaugrenelle is a high-rise residential and office tower in Paris, France, known for its modernist architecture along the Seine.
-
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.
Provenance (5 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. |
| NEDg | Description generation | batch_69ff2e7bf8c881909fecb6cf86bc32f2 |
completed | May 9, 2026, 12:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff331c267c8190bbc26ddd47273be7 |
completed | May 9, 2026, 1:14 p.m. |
Created at: April 10, 2026, 3:33 a.m.