Triple
T11665348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gérard Mourou |
E277233
|
entity |
| Predicate | birthPlace |
P1
|
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: [Gérard Mourou, birthPlace, Albertville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albertville Context triple: [Gérard Mourou, birthPlace, 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.
Florenville
Florenville is a picturesque town in southern Belgium’s Wallonia region, known for its scenic setting along the Semois River and surrounding Ardennes landscapes.
-
E.
Thorntonville
Thorntonville is a small town located in Ward County in western Texas, 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a43f438081909da476294a057c38 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee88355fe08190b16b417c12e69e1a |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:39 p.m.