Triple
T15472099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaugrenelle towers |
E376685
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Tour Mercure |
E752244
|
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 Mercure | Statement: [Beaugrenelle towers, hasPart, Tour Mercure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tour Mercure Context triple: [Beaugrenelle towers, hasPart, Tour Mercure]
-
A.
Tour Mercure
chosen
Tour Mercure is a residential high-rise tower located within the Front de Seine complex in Paris, France.
-
B.
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.
-
C.
Tour Magne
Tour Magne is an ancient Roman watchtower in Nîmes, France, notable as one of the city’s most prominent historical monuments.
-
D.
Tour Reflets
Tour Reflets is a residential high-rise tower located within the modern Front de Seine development in Paris, France.
-
E.
Tour Total
Tour Total is a prominent skyscraper and major office tower in the La Défense business district near Paris, serving as a key part of the area’s modern 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_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.