Triple
T2142579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Défense |
E46791
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Tour Areva |
E93261
|
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 Areva | Statement: [La Défense, hasLandmark, Tour Areva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tour Areva Context triple: [La Défense, hasLandmark, Tour Areva]
-
A.
Tour Voile
Tour Voile is a prominent annual offshore sailing race in France featuring multihull and monohull competitions along the French coastline.
-
B.
Areva
chosen
Areva was a French multinational group specializing in nuclear power and renewable energy technologies, known for its involvement in the entire nuclear fuel cycle.
-
C.
Tournier
Tournier is a surname of French origin, sometimes used as a variant of the English surname Turner.
-
D.
Ponts
Ponts is the common short name for École des Ponts et Chaussées, one of France’s oldest and most prestigious engineering schools specializing in civil engineering, transportation, and environmental sciences.
-
E.
Marval
Marval is an actor known for appearing in the landmark 1929 surrealist film "Un Chien Andalou," directed by Luis Buñuel and co-written with Salvador Dalí.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbe206db0819095772af5358dca55 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51b63e4081908a5d87af5d17d3c4 |
completed | March 9, 2026, 4:51 a.m. |
Created at: March 4, 2026, 7:44 p.m.