Triple
T3581755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Fulton |
E75814
|
entity |
| Predicate | designed |
P184
|
FINISHED |
| Object | Clermont |
E370461
|
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: Clermont | Statement: [Robert Fulton, designed, Clermont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clermont Context triple: [Robert Fulton, designed, Clermont]
-
A.
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.
-
B.
Clermont
Clermont is a rapidly growing city in Central Florida known for its rolling hills, lakes, and proximity to the greater Orlando metropolitan area.
-
C.
Clermont
chosen
Clermont was the pioneering early 19th-century steamboat that demonstrated the commercial viability of steam-powered river travel in the United States.
-
D.
Gretna
Gretna is a small Scottish town near the England–Scotland border, historically famous as a destination for runaway weddings.
-
E.
Fleury
Fleury is a French-Canadian surname most prominently associated with NHL goaltender Marc-André Fleury.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc102cb2881908fa4dc1bf6fa5961 |
completed | March 8, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402f36b2481909d4716e72a696e0d |
completed | March 13, 2026, 12:28 p.m. |
Created at: March 8, 2026, 3:21 p.m.