Triple
T9761196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tour First |
E236673
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Tour AXA |
E236674
|
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 AXA | Statement: [Tour First, formerName, Tour AXA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tour AXA Context triple: [Tour First, formerName, Tour AXA]
-
A.
Tour Mercure
Tour Mercure is a residential high-rise tower located within the Front de Seine complex in Paris, France.
-
B.
Tour Total
chosen
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.
-
C.
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.
-
D.
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.
-
E.
Tour Swiss Life
Tour Swiss Life is a prominent office skyscraper in Lyon, France, located in the La Part-Dieu business district.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda04ad9008190badfcebe2072ab83 |
completed | April 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bce1c5908190a89815fa2b7d90c8 |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:25 p.m.