Triple
T12494951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hvaler |
E298659
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lauer |
E668972
|
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: Lauer | Statement: [Hvaler, hasPart, Lauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauer Context triple: [Hvaler, hasPart, Lauer]
-
A.
Lauer
chosen
Lauer is a small Norwegian island located in the Hvaler archipelago, known for its coastal scenery and traditional holiday cottages.
-
B.
Lauer
Lauer is a surname of French origin borne by various notable individuals in fields such as archaeology, media, and politics.
-
C.
Laur
Laur is a rural municipality in the province of Nueva Ecija in the Philippines, known for its agricultural landscape and proximity to the Sierra Madre mountain range.
-
D.
Laudenbach
Laudenbach is the family name of French actor Pierre Fresnay, a prominent figure in 20th-century French cinema and theatre.
-
E.
Wopke
Wopke is a Dutch masculine given name most notably borne by politician Wopke Hoekstra.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de4089c8190917a45365e641437 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64badad488190ae1c6c2883a88a4b |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.