Triple
T858745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isère River |
E18552
|
entity |
| Predicate | flowsThrough |
P225
|
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: [Isère River, flowsThrough, Albertville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albertville Context triple: [Isère River, flowsThrough, Albertville]
-
A.
Albertville
chosen
Albertville is a town in southeastern France best known internationally for hosting the 1992 Winter Olympics.
-
B.
Loveland
Loveland is a city in northern Colorado known for its art community, sculpture parks, and proximity to the Rocky Mountains.
-
C.
Harpley
Harpley is a small rural village in Norfolk, England, known for its traditional English countryside setting and historic parish church.
-
D.
Saclan
Saclan is a now-extinct Miwok language once spoken by Indigenous people in what is now central California.
-
E.
Sorel
Sorel is a footwear and outerwear brand best known for its durable, stylish winter boots and cold-weather gear.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac4f740881909cb59a6c18a77af3 |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3c1ee4481909d5713122e5ad856 |
completed | March 4, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:39 p.m.