Triple
T946805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaver County |
E20430
|
entity |
| Predicate | hasBorough |
P300
|
FINISHED |
| Object | Beaver |
E112570
|
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: Beaver | Statement: [Beaver County, hasBorough, Beaver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beaver Context triple: [Beaver County, hasBorough, Beaver]
-
A.
Beaver
Beaver was one of the British ships in Boston Harbor whose tea cargo was destroyed during the Boston Tea Party protest in 1773.
-
B.
Beaver
chosen
Beaver is a small borough in western Pennsylvania that serves as the administrative and commercial center of Beaver County.
-
C.
Beaver
The Beaver is the official mascot of the California Institute of Technology, symbolizing the school’s emphasis on engineering, ingenuity, and industriousness.
-
D.
Beavers
The Beavers are the athletic teams representing Oregon State University in NCAA Division I sports.
-
E.
The Beaver
The Beaver is a 2011 drama film starring Mel Gibson as a depressed man who begins communicating through a beaver hand puppet, directed by Jodie Foster.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3bcad2481908b83575b2fb80d14 |
completed | March 1, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac119db8c881909cd727b255675c0c |
completed | March 7, 2026, 11:53 a.m. |
Created at: March 1, 2026, 7:40 p.m.