Triple
T3488889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Laloux |
E73676
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Tours, France |
E41188
|
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: Tours, France | Statement: [Victor Laloux, workLocation, Tours, France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tours, France Context triple: [Victor Laloux, workLocation, Tours, France]
-
A.
Tours, France
Tours, France is a historic city in the Loire Valley known for its medieval old town, Renaissance architecture, and role as a cultural and economic center of central France.
-
B.
Tours
chosen
Tours is a historic city in central France’s Loire Valley, known for its medieval old town, proximity to famous châteaux, and role as a regional transport and cultural hub.
-
C.
Tour Bretagne
Tour Bretagne is a prominent high-rise office tower and observation point dominating the skyline of Nantes, France.
-
D.
Impressions de France
Impressions de France is a long-running panoramic film attraction at EPCOT that showcases French landscapes, culture, and classical music.
-
E.
Tours Val de Loire Airport
Tours Val de Loire Airport is a regional French airport serving the city of Tours and the Loire Valley, offering commercial flights and access to this historic and touristic region.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb92b3ac8190b8675f5a5e9d4408 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e6202ec81908c9614102e618fb5 |
completed | March 13, 2026, 3:02 a.m. |
Created at: March 8, 2026, 3:18 p.m.