Triple
T14102162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bremgarten, Aargau, Switzerland |
E339409
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Widen |
E908873
|
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: Widen | Statement: [Bremgarten, Aargau, Switzerland, neighboringMunicipality, Widen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Widen Context triple: [Bremgarten, Aargau, Switzerland, neighboringMunicipality, Widen]
-
A.
Widen
chosen
Widen is a small municipality in the canton of Aargau in northern Switzerland.
-
B.
Widen Your World
"Widen Your World" is a global brand slogan used by Turkish Airlines to emphasize its extensive international network and promise of broadening travelers’ horizons.
-
C.
WID
WID is the National Rail station code assigned to Widnes railway station in Cheshire, England.
-
D.
Double Wide
Double Wide is the debut studio album by American musician Uncle Kracker, blending rock, country, and hip hop influences and featuring the hit single "Follow Me."
-
E.
Amplify
Amplify is an independent film distribution company known for releasing arthouse and specialty films.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fbbf0b08190ba1ea3657d6db005 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0b108908190b4b408f21ecb877a |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.