Triple
T7805337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Wheatstone |
E180533
|
entity |
| Predicate | hasInstrument |
P35
|
FINISHED |
| Object | Wheatstone bridge |
E698385
|
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: Wheatstone bridge | Statement: [Charles Wheatstone, hasInstrument, Wheatstone bridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wheatstone bridge Context triple: [Charles Wheatstone, hasInstrument, Wheatstone bridge]
-
A.
Wheatstone bridge
chosen
The Wheatstone bridge is an electrical circuit used to precisely measure unknown resistances by balancing two legs of a bridge network.
-
B.
Kelvin Bridge
Kelvin Bridge is a historic stone bridge spanning the River Kelvin in Glasgow, Scotland, linking the city’s West End to the Kelvinbridge area.
-
C.
Wheatstone
Wheatstone is a surname most famously associated with Sir Charles Wheatstone, the 19th-century English scientist and inventor known for his contributions to telegraphy and electrical measurement.
-
D.
Tomlinson Bridge
Tomlinson Bridge is a movable drawbridge in New Haven, Connecticut, carrying traffic over the Quinnipiac River and serving as a key local transportation link.
-
E.
Ohm
The Ohm is a river in the German state of Hesse that flows through towns such as Marburg before joining the Lahn.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf63838b88190a085756db9ca25c4 |
completed | March 30, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdecc6c5c8190af4445928ce1132f |
completed | March 31, 2026, 2:48 p.m. |
Created at: March 30, 2026, 4:35 p.m.