Triple
T2485235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saldanha Bay |
E55910
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Langebaan
Langebaan is a coastal town on South Africa’s West Coast known for its sheltered lagoon, water sports, and proximity to the West Coast National Park.
|
E271108
|
NE FINISHED |
How this triple was built (4 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: Langebaan | Statement: [Saldanha Bay, locatedNear, Langebaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langebaan Context triple: [Saldanha Bay, locatedNear, Langebaan]
-
A.
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.
-
B.
Klaaswaal
Klaaswaal is a village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
C.
Hermanus
Hermanus is a coastal town in South Africa renowned for its land-based whale watching and scenic seaside landscapes.
-
D.
Oudenhoorn
Oudenhoorn is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
-
E.
Bemmelerwaard
Bemmelerwaard is a riverine floodplain area in the Netherlands known for its natural landscapes and ecological value along the Waal.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Langebaan Triple: [Saldanha Bay, locatedNear, Langebaan]
Generated description
Langebaan is a coastal town on South Africa’s West Coast known for its sheltered lagoon, water sports, and proximity to the West Coast National Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langebaan Target entity description: Langebaan is a coastal town on South Africa’s West Coast known for its sheltered lagoon, water sports, and proximity to the West Coast National Park.
-
A.
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.
-
B.
Klaaswaal
Klaaswaal is a village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
C.
Hermanus
Hermanus is a coastal town in South Africa renowned for its land-based whale watching and scenic seaside landscapes.
-
D.
Oudenhoorn
Oudenhoorn is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
-
E.
Bemmelerwaard
Bemmelerwaard is a riverine floodplain area in the Netherlands known for its natural landscapes and ecological value along the Waal.
- F. None of above. chosen
Provenance (5 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd175f5ac8190870db9c6cb8e45bd |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17ba433481908eccda5c6c6246be |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af1bbf545081908e1e51b5c7e4a196 |
completed | March 9, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af1c9c35648190bdeab34ce4032d26 |
completed | March 9, 2026, 7:16 p.m. |
Created at: March 6, 2026, 9:45 p.m.