Triple
T10071892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voorne-Putten |
E213647
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Oudenhoorn |
E72433
|
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: Oudenhoorn | Statement: [Voorne-Putten, hasTown, Oudenhoorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oudenhoorn Context triple: [Voorne-Putten, hasTown, Oudenhoorn]
-
A.
Oudenhoorn
chosen
Oudenhoorn is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
-
B.
Struisbaai
Struisbaai is a coastal fishing and holiday town in South Africa’s Western Cape, known for its long sandy beach and proximity to the southernmost tip of Africa.
-
C.
Knysna
Knysna is a picturesque coastal town in South Africa known for its lagoon, indigenous forests, and role as a major tourist destination along the Garden Route.
-
D.
Oudtshoorn
Oudtshoorn is a South African town famed as the "ostrich capital of the world," known for its ostrich farms, Cango Caves, and semi-arid Karoo landscape.
-
E.
Mossel Bay
Mossel Bay is a coastal town and popular tourist destination on South Africa’s Garden Route, known for its beaches, mild climate, and maritime history.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd01279388190b94c8def00425c78 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29aaa61308190b134b49a6c1c1131 |
completed | April 5, 2026, 5:23 p.m. |
Created at: March 30, 2026, 8:59 p.m.