Triple
T12630041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | historical province of Burgundy |
E301615
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Autun |
E162613
|
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: Autun | Statement: [historical province of Burgundy, contains, Autun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Autun Context triple: [historical province of Burgundy, contains, Autun]
-
A.
Autun
chosen
Autun is a historic town in eastern France renowned for its well-preserved Roman ruins and medieval cathedral.
-
B.
Arrah
Arrah is a historic town in the Indian state of Bihar, known for its role as a key site of conflict during the Indian Rebellion of 1857.
-
C.
Larimore
Larimore is a small city in eastern North Dakota, United States, known for its rural character and proximity to Grand Forks.
-
D.
Holladay
Holladay is a suburban city in the Salt Lake City metropolitan area in northern Utah, known for its residential neighborhoods and proximity to the Wasatch Mountains.
-
E.
Scobey
Scobey is a surname and place name most notably associated with the city of Scobey in Montana, United States.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610ce9e48190a496824002c0d2be |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65edafc7c819088bd641542a32e39 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:15 p.m.