Triple
T1270887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lek |
E15705
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Vianen |
E70934
|
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: Vianen | Statement: [Lek, flowsNear, Vianen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vianen Context triple: [Lek, flowsNear, Vianen]
-
A.
Vianen
chosen
Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
-
B.
Viedma
Viedma is a city in northern Patagonia and one of the oldest settlements in Argentina, serving as the capital of Río Negro Province.
-
C.
Eivissa
Eivissa is the Catalan name for Ibiza, a popular Mediterranean island in Spain’s Balearic archipelago known for its beaches and nightlife.
-
D.
Vaitogi
Vaitogi is a coastal village on the island of Tutuila in American Samoa, known for its dramatic sea cliffs and traditional Samoan culture.
-
E.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06ae7b88190a1e0b5232d84a7b1 |
completed | March 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2f49a98819083dacff7e76ad195 |
completed | March 7, 2026, 10:13 p.m. |
Created at: March 1, 2026, 7:50 p.m.