Triple
T19210140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guillaume du Prat |
E480335
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Clermont |
—
|
NE NERFINISHED |
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: Clermont | Statement: [Guillaume du Prat, workLocation, Clermont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clermont Context triple: [Guillaume du Prat, workLocation, Clermont]
-
A.
Clermont
Clermont is a rapidly growing city in Central Florida known for its rolling hills, lakes, and proximity to the greater Orlando metropolitan area.
-
B.
Clermont
Clermont was the pioneering early 19th-century steamboat that demonstrated the commercial viability of steam-powered river travel in the United States.
-
C.
Clermont
chosen
Clermont is a historic city in central France, best known as the site where Pope Urban II launched the First Crusade at the Council of Clermont in 1095.
-
D.
Clermont
Clermont is a commune in northern France that serves as a local administrative and historical center in the Oise department of the Hauts-de-France region.
-
E.
Clermont
Clermont is a rural town in Central Queensland, Australia, known historically for gold and coal mining and as a service centre for surrounding agricultural and mining regions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f9a0d1248190953e36e44f0cafdd |
completed | April 20, 2026, 10:02 a.m. |
Created at: April 10, 2026, 1:21 p.m.