Triple
T12923318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burridge |
E309177
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Burrige |
E309177
|
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: Burrige | Statement: [Burridge, hasVariantSpelling, Burrige]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burrige Context triple: [Burridge, hasVariantSpelling, Burrige]
-
A.
Burridge
chosen
Burridge is an English surname of likely locational origin, associated with various places and families in the United Kingdom.
-
B.
Buron
Buron is a small village in northwestern France, historically notable for fighting during the Battle of Normandy in World War II.
-
C.
Barkur
Barkur is a historic town in the Udupi district of Karnataka, India, known for its ancient temples, archaeological sites, and cultural heritage.
-
D.
Bekwarra
Bekwarra is a notable town and local government area in southeastern Nigeria, recognized for its predominantly agrarian community and cultural heritage within Cross River State.
-
E.
Burglauer
Burglauer is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e9576c81908eb59569af6da877 |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8d39d4c81908fab65129f292862 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:42 p.m.