Triple
T12972735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albertville railway station |
E321442
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Albertville |
E82950
|
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: Albertville | Statement: [Albertville railway station, serves, Albertville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albertville Context triple: [Albertville railway station, serves, Albertville]
-
A.
Albertville
chosen
Albertville is a town in southeastern France best known internationally for hosting the 1992 Winter Olympics.
-
B.
Albertville
Albertville is the former colonial name of the city now known as Kalemie, located on the western shore of Lake Tanganyika in the Democratic Republic of the Congo.
-
C.
Unienville
Unienville is a small commune in the Aube department of north-central France.
-
D.
Vimont
Vimont is the namesake of the Prix Peccot-Vimont, a French mathematical prize awarded by the Collège de France to recognize promising young mathematicians.
-
E.
Fullerville
Fullerville is a historic mill village and former industrial community that is now a notable historic site within Villa Rica, Georgia.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e418d548190be1c73db76cb3aa8 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e266000c8190b0ba4c9e63ba0542 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 8:36 p.m.