Triple
T11453473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chapelle royale de Dreux |
E271461
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Dreux town center |
E264073
|
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: Dreux town center | Statement: [Chapelle royale de Dreux, locatedNear, Dreux town center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dreux town center Context triple: [Chapelle royale de Dreux, locatedNear, Dreux town center]
-
A.
Dreux, France
Dreux, France is a historic town in the Eure-et-Loir department of northern France, known for its royal connections and the Chapelle Royale, burial site of members of the House of Orléans.
-
B.
Dreux
chosen
Dreux is a historic town in northern France known for its royal chapel and role as a regional center in the Eure-et-Loir department.
-
C.
Droisy
Droisy is a small commune in northern France located within the administrative boundaries of the canton of Breteuil.
-
D.
Courtedoux
Courtedoux is a small municipality in the Ajoie region of the canton of Jura in northwestern Switzerland.
-
E.
Chantilly
Chantilly is a suburban community in Fairfax County, Virginia, known for its proximity to Washington, D.C., Dulles International Airport, and the Smithsonian’s National Air and Space Museum Steven F. Udvar-Hazy Center.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c7057688190ad8aa99426e4ca30 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3d740008190a05ccb789ac0906d |
completed | April 20, 2026, 7:20 a.m. |
Created at: April 8, 2026, 9:35 p.m.